Keywords
Computer Science and Digital Science
 A6. Modeling, simulation and control
 A6.1. Methods in mathematical modeling
 A6.1.1. Continuous Modeling (PDE, ODE)
 A6.4. Automatic control
 A6.4.1. Deterministic control
 A6.4.3. Observability and Controlability
 A6.4.4. Stability and Stabilization
 A6.4.5. Control of distributed parameter systems
 A6.4.6. Optimal control
Other Research Topics and Application Domains
 B1.2. Neuroscience and cognitive science
 B1.2.1. Understanding and simulation of the brain and the nervous system
 B2. Health
 B2.6. Biological and medical imaging
 B5.11. Quantum systems
1 Team members, visitors, external collaborators
Research Scientists
 Mario Sigalotti [Team leader, Inria, Senior Researcher, HDR]
 Ugo Boscain [CNRS, HDR]
 Barbara Gris [CNRS, Researcher]
Faculty Members
 Jean Michel Coron [Université de Paris, Professor]
 Emmanuel Trélat [Université d'Orléans, Associate Professor, HDR]
PostDoctoral Fellows
 Ivan Beschastnyi [Inria, until Nov 2020]
 Valentina Franceschi [Sorbonne Université, until Aug 2020]
 Karen Habermann [Fondation sciences mathématiques de Paris, until Jun 2020]
 Jeffrey Heninger [Inria, from Nov 2020]
 Ludovic Sacchelli [Inria, Sep 2020, HDR]
PhD Students
 Daniele Cannarsa [CNRS]
 Justine Dorsz [Sorbonne Université, from Nov 2020]
 Gontran Lance [École Nationale Supérieure de Techniques Avancées]
 Cyril Letrouit [École Normale Supérieure de Paris]
 Emilio Molina [ Universidad de Chile]
 Aymeric Nayet [ArianeGroup]
 Eugenio Pozzoli [Inria]
 Remi Robin [Sorbonne Université]
Interns and Apprentices
 Leonardo Martins Bianco [Inria, until Jun 2020]
Administrative Assistants
 Christelle Guiziou [Inria]
 Mathieu Mourey [Inria]
2 Overall objectives
CAGE's activities take place in the field of mathematical control theory, with applications in three main directions: geometric models for vision, control of quantum mechanical systems, and control of systems with uncertain dynamics.
The relations between control theory and geometry of vision rely on the notion of subRiemannian structure, a geometric framework which is used to measure distances in nonholonomic contexts and which has a natural and powerful control theoretical interpretation. We recall that nonholonomicity refers to the property of a velocity constraint that cannot be recast as a state constraint. In the language of differential geometry, a subRiemannian structure is a (possibly rankvarying) Lie bracket generating distribution endowed with a smoothly varying norm.
SubRiemannian geometry, and in particular the theory of associated (hypoelliptic) diffusive processes, plays a crucial role in the neurogeometrical model of the primary visual cortex due to Petitot, Citti and Sarti, based on the functional architecture first described by Hubel and Wiesel. Such a model can be used as a powerful paradigm for bioinspired image processing, as already illustrated in the recent literature (including by members of our team). Our contributions to this field are based not only on this approach, but also on another geometric and subRiemannian framework for vision, based on pattern matching in the group of diffeomorphisms. In this case admissible diffeomorphisms correspond to deformations which are generated by vector fields satisfying a set of nonholonomic constraints. A subRiemannian metric on the infinitedimensional group of diffeomorphisms is induced by a length on the tangent distribution of admissible velocities. Nonholonomic constraints can be especially useful to describe distortions of sets of interconnected objects (e.g., motions of organs in medical imaging).
Control theory is one of the components of the forthcoming quantum revolution 1, since manipulation of quantum mechanical systems is ubiquitous in applications such as quantum computation, quantum cryptography, and quantum sensing (in particular, imaging by nuclear magnetic resonance). The efficiency of the control action has a dramatic impact on the quality of the coherence and the robustness of the required manipulation. Minimal time constraints and interaction of time scales are important factors for characterizing the efficiency of a quantum control strategy. Time scales analysis is important for evaluation approaches based on adiabatic approximation theory, which is wellknown to improve the robustness of the control strategy. CAGE works for the improvement of evaluation and design tools for efficient quantum control paradigms, especially for what concerns quantum systems evolving in infinitedimensional Hilbert spaces.
Simultaneous control of a continuum of systems with slightly different dynamics is a typical problem in quantum mechanics and also a special case of the third applicative axis to which CAGE is contributing: control of systems with uncertain dynamics. The slightly different dynamics can indeed be seen as uncertainties in the system to be controlled, and simultaneous control rephrased in terms of a robustness task. Robustification, i.e., offsetting uncertainties by suitably designing the control strategy, is a widespread task in automatic control theory, showing up in many applicative domains such as electric circuits or aerospace motion planning. If dynamics are not only subject to static uncertainty, but may also change as time goes, the problem of controlling the system can be recast within the theory of switched and hybrid systems, both in a deterministic and in a probabilistic setting. Our contributions to this research field concern both stabilization (either asymptotic or in finite time) and optimal control, where redundancies and probabilistic tools can be introduced to offset uncertainties.
3 Research program
3.1 Research domain
The activities of CAGE are part of the research in the wide area of control theory. This nowadays mature discipline is still the subject of intensive research because of its crucial role in a vast array of applications.
More specifically, our contributions are in the area of mathematical control theory, which is to say that we are interested in the analytical and geometrical aspects of control applications. In this approach, a control system is modeled by a system of equations (of many possible types: ordinary differential equations, partial differential equations, stochastic differential equations, difference equations,...), possibly not explicitly known in all its components, which are studied in order to establish qualitative and quantitative properties concerning the actuation of the system through the control.
Motion planning is, in this respect, a cornerstone property: it denotes the design and validation of algorithms for identifying a control law steering the system from a given initial state to (or close to) a target one. Initial and target positions can be replaced by sets of admissible initial and final states as, for instance, in the motion planning task towards a desired periodic solution. Many specifications can be added to the pure motion planning task, such as robustness to external or endogenous disturbances, obstacle avoidance or penalization criteria. A more abstract notion is that of controllability, which denotes the property of a system for which any two states can be connected by a trajectory corresponding to an admissible control law. In mathematical terms, this translates into the surjectivity of the socalled endpoint map, which associates with a control and an initial state the final point of the corresponding trajectory. The analytical and topological properties of endpoint maps are therefore crucial in analyzing the properties of control systems.
One of the most important additional objective which can be associated with a motion planning task is optimal control, which corresponds to the minimization of a cost (or, equivalently, the maximization of a gain) 168. Optimal control theory is clearly deeply interconnected with calculus of variations, even if the noninterchangeable nature of the timevariable results in some important specific features, such as the occurrence of abnormal extremals130. Research in optimal control encompasses different aspects, from numerical methods to dynamic programming and nonsmooth analysis, from regularity of minimizers to high order optimality conditions and curvaturelike invariants.
Another domain of control theory with countless applications is stabilization. The goal in this case is to make the system converge towards an equilibrium or some more general safety region. The main difference with respect to motion planning is that here the control law is constructed in feedback form. One of the most important properties in this context is that of robustness, i.e., the performance of the stabilization protocol in presence of disturbances or modeling uncertainties. A powerful framework which has been developed to take into account uncertainties and exogenous nonautonomous disturbances is that of hybrid and switched systems 171, 132, 159. The central tool in the stability analysis of control systems is that of control Lyapunov function. Other relevant techniques are based on algebraic criteria or dynamical systems. One of the most important stability property which is studied in the context of control system is inputtostate stability155, which measures how sensitive the system is to an external excitation.
One of the areas where control applications have nowadays the most impressive developments is in the field of biomedicine and neurosciences. Improvements both in modeling and in the capability of finely actuating biological systems have concurred in increasing the popularity of these subjects. Notable advances concern, in particular, identification and control for biochemical networks 149 and models for neural activity 118. Therapy analysis from the point of view of optimal control has also attracted a great attention 152.
Biological models are not the only one in which stochastic processes play an important role. Stockmarkets and energy grids are two major examples where optimal control techniques are applied in the nondeterministic setting. Sophisticated mathematical tools have been developed since several decades to allow for such extensions. Many theoretical advances have also been required for dealing with complex systems whose description is based on distributed parameters representation and partial differential equations. Functional analysis, in particular, is a crucial tool to tackle the control of such systems 165.
Let us conclude this section by mentioning another challenging application domain for control theory: the decision by the European Union to fund a flagship devoted to the development of quantum technologies is a symptom of the role that quantum applications are going to play in tomorrow's society. Quantum control is one of the bricks of quantum engineering, and presents many peculiarities with respect to standard control theory, as a consequence of the specific properties of the systems described by the laws of quantum physics. Particularly important for technological applications is the capability of inducing and reproducing coherent state superpositions and entanglement in a fast, reliable, and efficient way 119.
3.2 Scientific foundations
At the core of the scientific activity of the team is the geometric control approach, that is, a distinctive viewpoint issued in particular from (elementary) differential geometry, to tackle questions of controllability, observability, optimal control... 78, 123. The emphasis of such a geometric approach to control theory is put on intrinsic properties of the systems and it is particularly well adapted to study nonlinear and nonholonomic phenomena.
One of the features of the geometric control approach is its capability of exploiting symmetries and intrinsic structures of control systems. Symmetries and intrinsic structures can be used to characterize minimizing trajectories, prove regularity properties and describe invariants. An egregious example is given by mechanical systems, which inherently exhibit Lagrangian/Hamiltonian structures which are naturally expressed using the language of symplectic geometry 105. The geometric theory of quantum control, in particular, exploits the rich geometric structure encoded in the Schrödinger equation to engineer adapted control schemes and to characterize their qualitative properties. The Lie–Galerkin technique that we proposed starting from 2009 108 builds on this premises in order to provide powerful tests for the controllability of quantum systems defined on infinitedimensional Hilbert spaces.
Although the focus of geometric control theory is on qualitative properties, its impact can also be disruptive when it is used in combination with quantitative analytical tools, in which case it can dramatically improve the computational efficiency. This is the case in particular in optimal control. Classical optimal control techniques (in particular, Pontryagin Maximum Principle, conjugate point theory, associated numerical methods) can be significantly improved by combining them with powerful modern techniques of geometric optimal control, of the theory of numerical continuation, or of dynamical system theory 163, 151. Geometric optimal control allows the development of general techniques, applying to wide classes of nonlinear optimal control problems, that can be used to characterize the behavior of optimal trajectories and in particular to establish regularity properties for them and for the cost function. Hence, geometric optimal control can be used to obtain powerful optimal syntheses results and to provide deep geometric insights into many applied problems. Numerical optimal control methods with geometric insight are in particular important to handle subtle situations such as rigid optimal paths and, more generally, optimal syntheses exhibiting abnormal minimizers.
Optimal control is not the only area where the geometric approach has a great impact. Let us mention, for instance, motion planning, where different geometric approaches have been developed: those based on the Lie algebra associated with the control system 144, 134, those based on the differentiation of nonlinear flows such as the return method112, 113, and those exploiting the differential flatness of the system 117.
Geometric control theory is not only a powerful framework to investigate control systems, but also a useful tool to model and study phenomena that are not a priori controlrelated. Two occurrences of this property play an important role in the activities of CAGE:
 geometric control theory as a tool to investigate properties of mathematical structures;
 geometric control theory as a modeling tool for neurophysical phenomena and for synthesizing biomimetic algorithms based on such models.
Examples of the first type, concern, for instance, hypoelliptic heat kernels 76 or shape optimization 87. Examples of the second type are inactivation principles in human motricity 90 or neurogeometrical models for image representation of the primary visual cortex in mammals 101.
A particularly relevant class of control systems, both from the point of view of theory and applications, is characterized by the linearity of the controlled vector field with respect to the control parameters. When the controls are unconstrained in norm, this means that the admissible velocities form a distribution in the tangent bundle to the state manifold. If the distribution is equipped with a pointdependent quadratic form (encoding the cost of the control), the resulting geometrical structure is said to be subRiemannian. SubRiemannian geometry appears as the underlying geometry of nonlinear control systems: in a similar way as the linearization of a control system provides local informations which are readable using the Euclidean metric scale, subRiemannian geometry provides an adapted nonisotropic class of lenses which are often much more informative. As such, its study is fundamental for control design. The importance of subRiemannian geometry goes beyond control theory and it is an active field of research both in differential geometry 142, geometric measure theory 81 and hypoelliptic operator theory 94.
The geometric control approach has historically been related to the development of finitedimensional control theory. However, its impact in the analysis of distributed parameter control systems and in particular systems of controlled partial differential equations has been growing in the last decades, complementing analytical and numerical approaches, providing dynamical, qualitative and intrinsic insight 111. CAGE's ambition is to be at the core of this development in the years to come.
4 Application domains
4.1 First axis: Geometry of vision
A suggestive application of subRiemannian geometry and in particular of hypoelliptic diffusion comes from a model of geometry of vision describing the functional architecture of the primary visual cortex V1. In 1958, Hubel and Wiesel (Nobel in 1981) observed that the visual cortex V1 is endowed with the socalled pinwheel structure, characterized by neurons grouped into orientation columns, that are sensible both to positions and directions 122. The mathematical rephrasing of this discovery is that the visual cortex lifts an image from ${\mathbf{R}}^{2}$ into the bundle of directions of the plane 109, 148, 150, 121.
A simplified version of the model can be described as follows: neurons of V1 are grouped into orientation columns, each of them being sensitive to visual stimuli at a given point of the retina and for a given direction on it. The retina is modeled by the real plane, i.e., each point is represented by a pair $(x,y)\in {\mathbb{R}}^{2}$, while the directions at a given point are modeled by the projective line, i.e. an element $\theta $ of the projective line ${P}^{1}$. Hence, the primary visual cortex V1 is modeled by the so called projective tangent bundle ${\mathrm{PTR}}^{2}={\mathbf{R}}^{2}\times {\mathbf{P}}^{1}$. From a neurological point of view, orientation columns are in turn grouped into hypercolumns, each of them being sensitive to stimuli at a given point $(x,y)$ with any direction.
Orientation columns are connected between them in two different ways. The first kind of connections are the vertical (inhibitory) ones, which connect orientation columns belonging to the same hypercolumn and sensible to similar directions. The second kind of connections are the horizontal (excitatory) connections, which connect neurons belonging to different (but not too far) hypercolumns and sensible to the same directions. The resulting metric structure is subRiemannian and the model obtained in this way provides a convincing explanation in terms of subRiemannian geodesics of gestalt phenomena such as Kanizsa illusory contours.
The subRiemannian model for image representation of V1 has a great potential of yielding powerful bioinspired image processing algorithms 116, 101. Image inpainting, for instance, can be implemented by reconstructing an incomplete image by activating orientation columns in the missing regions in accordance with subRiemannian nonisotropic constraints. The process intrinsically defines an hypoelliptic heat equation on ${\mathrm{PTR}}^{2}$ which can be integrated numerically using noncommutative Fourier analysis on a suitable semidiscretization of the group of rototranslations of the plane 99.
We have been working on the model and its software implementation since 2012. This work has been supported by several project, as the ERC starting grant GeCoMethods and the ERC Proof of Concept ARTIV1 of U. Boscain, and the ANR GCM.
A parallel approach that we will pursue and combine with this first one is based on pattern matching in the group of diffeomorphisms. We want to extend this approach, already explored in the Riemannian setting 164, 139, to the general subRiemannian framework. The paradigm of the approach is the following: consider a distortable object, more or less rigid, discretized into a certain number of points. One may track its distortion by considering the paths drawn by these points. One would however like to know how the object itself (and not its discretized version) has been distorted. The study in 164, 139 shed light on the importance of Riemannian geometry in this kind of problem. In particular, they study the Riemannian submersion obtained by making the group of diffeomorphisms act transitively on the manifold formed by the points of the discretization, minimizing a certain energy so as to take into account the whole object. Settled as such, the problem is Riemannian, but if one considers objects involving connections, or submitted to nonholonomic constraints, like in medical imaging where one tracks the motions of organs, then one comes up with a subRiemannian problem. The transitive group is then far bigger, and the aim is to lift curves submitted to these nonholonomic constraints into curves in the set of diffeomorphisms satisfying the corresponding constraints, in a unique way and minimizing an energy (giving rise to a subRiemannian structure).
4.2 Second axis: Quantum control
The goal of quantum control is to design efficient protocols for tuning the occupation probabilities of the energy levels of a system. This task is crucial in atomic and molecular physics, with applications ranging from photochemistry to nuclear magnetic resonance and quantum computing. A quantum system may be controlled by exciting it with one or several external fields, such as magnetic or electric fields. The goal of quantum control theory is to adapt the tools originally developed by control theory and to develop new specific strategies that tackle and exploit the features of quantum dynamics (probabilistic nature of wavefunctions and density operators, measure and wavefunction collapse, decoherence, ...). A rich variety of relevant models for controlled quantum dynamics exist, encompassing lowdimensional models (e.g., singlespin systems) and PDEs alike, with deterministic and stochastic components, making it a rich and exciting area of research in control theory.
The controllability of quantum system is a wellestablished topic when the state space is finitedimensional 114, thanks to general controllability methods for leftinvariant control systems on compact Lie groups 104, 124. When the state space is infinitedimensional, it is known that in general the bilinear Schrödinger equation is not exactly controllable 166. Nevertheless, weaker controllability properties, such as approximate controllability or controllability between eigenstates of the internal Hamiltonian (which are the most relevant physical states), may hold. In certain cases, when the state space is a function space on a 1D manifold, some rather precise description of the set of reachable states has been provided 88. A similar description for higherdimensional manifolds seems intractable and at the moment only approximate controllability results are available 140, 146, 125. The most widely applicable tests for controllability of quantum systems in infinitedimensional Hilbert spaces are based on the Lie–Galerkin technique108, 96, 97. They allow, in particular, to show that the controllability property is generic among this class of systems 137.
A family of algorithms which are specific to quantum systems are those based on adiabatic evolution 170, 169, 128. The basic principle of adiabatic control is that the flow of a slowly varying Hamiltonian can be approximated (up to a phase factor) by a quasistatic evolution, with a precision proportional to the velocity of variation of the Hamiltonian. The advantage of the adiabatic approach is that it is constructive and produces control laws which are both smooth and robust to parameter uncertainty. The paradigm is based on the adiabatic perturbation theory developed in mathematical physics 95, 145, 162, where it plays an important role for understanding molecular dynamics. Approximation theory by adiabatic perturbation can be used to describe the evolution of the occupation probabilities of the energy levels of a slowly varying Hamiltonian. Results from the last 15 years, including those by members of our team 73, 100, have highlighted the effectiveness of control techniques based on adiabatic path following.
4.3 Third axis: Stability and uncertain dynamics
Switched and hybrid systems constitute a broad framework for the description of the heterogeneous aspects of systems in which continuous dynamics (typically pertaining to physical quantities) interact with discrete/logical components. The development of the switched and hybrid paradigm has been motivated by a broad range of applications, including automotive and transportation industry 154, energy management 147 and congestion control 138.
Even if both controllability 158 and observability 126 of switched and hybrid systems have attracted much research efforts, the central role in their study is played by the problem of stability and stabilizability. The goal is to determine whether a dynamical or a control system whose evolution is influenced by a timedependent signal is uniformly stable or can be uniformly stabilized 132, 159. Uniformity is considered with respect to all signals in a given class. Stability of switched systems lead to several interesting phenomena. For example, even when all the subsystems corresponding to a constant switching law are exponentially stable, the switched systems may have divergent trajectories for certain switching signals 131. This fact illustrates the fact that stability of switched systems depends not only on the dynamics of each subsystem but also on the properties of the class of switching signals which is considered.
The most common class of switching signals which has been considered in the literature is made of all piecewise constant signals.
In this case uniform stability of the system is equivalent to the existence of a common quadratic Lyapunov function 141. Moreover, provided that the system has finitely many modes, the Lyapunov function can be taken polyhedral or polynomial 93, 92, 115. A special role in the switched control literature has been played by common quadratic Lyapunov functions, since their existence can be tested rather efficiently (see the surveys 133, 153 and the references therein). It is known, however, that the existence of a common quadratic Lyapunov function is not necessary for the global uniform exponential stability of a linear switched system with finitely many modes. Moreover, there exists no uniform upper bound on the minimal degree of a common polynomial Lyapunov function 136. More refined tools rely on multiple and nonmonotone Lyapunov functions 103. Let us also mention linear switched systems technics based on the analysis of the Lie algebra generated by the matrices corresponding to the modes of the system 75.
For systems evolving in the plane, more geometrical tests apply, and yield a complete characterization of the stability 102, 82. Such a geometric approach also yields sufficient conditions for uniform stability in the linear planar case 98.
In many situations, it is interesting for modeling purposes to specify the features of the switched system by introducing constrained switching rules. A typical constraint is that each mode is activated for at least a fixed minimal amount of time, called the dwelltime. Switching rules can also be imposed, for instance, by a timed automata. When constraints apply, the common Lyapunov function approach becomes conservative and new tools have to be developed to give more detailed characterizations of stable and unstable systems.
Our approach to constrained switching is based on the idea of relating the analytical properties of the classes of constrained switching laws (shiftinvariance, compactness, closure under concatenation, ...) to the stability behavior of the corresponding switched systems. One can introduce probabilistic uncertainties by endowing the classes of admissible signals with suitable probability measures. One then looks at the corresponding Lyapunov exponents, whose existence is established by the multiplicative ergodic theorem. The interest of this approach is that probabilistic stability analysis filters out highly `exceptional' worstcase trajectories. Although less explicitly characterized from a dynamical viewpoint than its deterministic counterpart, the probabilistic notion of uniform exponential stability can be studied using several reformulations of Lyapunov exponents proposed in the literature 89, 110, 167.
4.4 Joint theoretical core
The theoretical questions raised by the different applicative area will be pooled in a research axis on the transversal aspects of geometric control theory and subRiemannian structures.
We recall that subRiemannian geometry is a generalization of Riemannian geometry, whose birth dates back to Carathéodory's seminal paper on the foundations of Carnot thermodynamics 106, followed by E. Cartan's address at the International Congress of Mathematicians in Bologna 107. In the last twenty years, subRiemannian geometry has emerged as an independent research domain, with a variety of motivations and ramifications in several parts of pure and applied mathematics. Let us mention geometric analysis, geometric measure theory, stochastic calculus and evolution equations together with applications in mechanics and optimal control (motion planning, robotics, nonholonomic mechanics, quantum control) 83, 84.
One of the main open problems in subRiemannian geometry concerns the regularity of lengthminimizers 79, 143. Lengthminimizers are solutions to a variational problem with constraints and satisfy a firstorder necessary condition resulting from the Pontryagin Maximum Principle (PMP). Solutions of the PMP are either normal or abnormal. Normal lengthminimizer are wellknown to be smooth, i.e., ${C}^{\infty}$, as it follows by the Hamiltonian nature of the PMP. The question of regularity is then reduced to abnormal lengthminimizers. If the subRiemannian structure has step 2, then abnormal lengthminimizers can be excluded and thus every lengthminimizer is smooth. For step 3 structures, the situation is already more complicated and smoothness of lengthminimizers is known only for Carnot groups 127, 161. The question of regularity of lengthminimizers is not restricted to the smoothness in the ${C}^{\infty}$ sense. A recent result prove that lengthminimizers, for subRiemannian structures of any step, cannot have cornerlike singularities 120. When the subRiemannian structure is analytic, more is known on the size of the set of points where a lengthminimizer can lose analyticity 160, regardless of the rank and of the step of the distribution.
An interesting set of recent results in subRiemannian geometry concerns the extension to such a setting of the Riemannian notion of sectional curvature. The curvature operator can be introduced in terms of the symplectic invariants of the Jacobi curve 77, 129, 74, a curve in the Lagrange Grassmannian related to the linearization of the Hamiltonian flow. Alternative approaches to curvatures in metric spaces are based either on the associated heat equation and the generalization of the curvaturedimension inequality 85, 86 or on optimal transport and the generalization of Ricci curvature 157, 156, 135, 80.
5 Highlights of the year
5.1 Awards
The PhD thesis “Stabilisation de systèmes hyperboliques nonlinéaires en dimension un d'espace” of our former PhD student Amaury Hayat received two prizes
 the 2019 European PhD Award by EECI for the best PhD thesis in Europe in the field of Control for Complex and Heterogeneous Systems;
 Prix Solennel des Chancelleries des universités de Paris : Prix en Sciences “toutes spécialités”.
6 New results
6.1 Geometry of vision and subRiemannian geometry: new results
Let us list here our new results in the geometry of vision axis and, more generally, on hypoelliptic diffusion and subRiemannian geometry.
 In 16 we consider the evolution model proposed in 91 to describe illusory contrast perception phenomena induced by surrounding orientations. Firstly, we highlight its analogies and differences with widely used WilsonCowan equations, mainly in terms of efficient representation properties. Then, in order to explicitly encode local directional information, we exploit the model of the primary visual cortex V1 proposed in 109 and largely used over the last years for several image processing problems. The resulting model is capable to describe assimilation and contrast visual bias at the same time, the main novelty being its explicit dependence on local image orientation. We report several numerical tests showing the ability of the model to explain, in particular, orientationdependent phenomena such as grating induction and a modified version of the Poggendorff illusion. For this latter example, we empirically show the existence of a set of threshold parameters differentiating from inpainting to perceptiontype reconstructions, describing longrange connectivity between different hypercolumns in the primary visual cortex.
 The article 34 adapts the framework of metamorphosis to the resolution of inverse problems with shape prior. The metamorphosis framework allows to transform an image via a balance between geometrical deformations and changes in intensities (that can for instance correspond to the appearance of a new structure). The idea developed here is to reconstruct an image from noisy and indirect observations by registering, via metamorphosis, a template to the observed data. Unlike a registration with only geometrical changes, this framework gives good results when intensities of the template are poorly chosen. We show that this method is a welldefined regularization method (proving existence, stability and convergence) and present several numerical examples.
 The reconstruction mechanisms built by the human auditory system during sound reconstruction are still a matter of debate. The purpose of 22, 38 is to propose a mathematical model of sound reconstruction based on the functional architecture of the auditory cortex (A1). The model is inspired by the geometrical modelling of vision, which has undergone a great development in the last ten years. The algorithm transforms the degraded sound in an image in the timefrequency domain via a shorttime Fourier transform. Such an image is then lifted in the Heisenberg group (i.e., the celebrated Brockett integrator) and it is reconstructed via a WilsonCowan differointegral equation. Numerical experiments are provided.
 Given a surface $S$ in a 3D contact subRiemannian manifold $M$, we investigate in 46 the metric structure induced on $S$ by $M$, in the sense of length spaces. First, we define a coefficient at characteristic points that determines locally the characteristic foliation of $S$. Next, we identify some global conditions for the induced distance to be finite. In particular, we prove that the induced distance is finite for surfaces with the topology of a sphere embedded in a tight coorientable distribution, with isolated characteristic points.
 In 54 we establish smalltime asymptotic expansions for heat kernels of hypoelliptic Hörmander operators in a neighborhood of the diagonal, generalizing former results obtained in particular by Métivier and by Ben Arous. The coefficients of our expansions are identified in terms of the nilpotentization of the underlying subRiemannian structure. Our approach is purely analytic and relies in particular on local and global subelliptic estimates as well as on the local nature of smalltime asymptotics of heat kernels. The fact that our expansions are valid not only along the diagonal but in an asymptotic neighborhood of the diagonal is the main novelty, useful in view of deriving Weyl laws for subelliptic Laplacians. In turn, we establish a number of other results on hypoelliptic heat kernels that are interesting in themselves, such as Kac's principle of not feeling the boundary, asymptotic results for singular perturbations of hypoelliptic operators, global smoothing properties for selfadjoint heat semigroups.
 In the survey paper 64 we report on recent works concerning exact observability (and, by duality, exact controllability) properties of subelliptic wave and Schrödingertype equations. These results illustrate the slowdown of propagation in directions transverse to the horizontal distribution. The proofs combine subRiemannian geometry, semiclassical analysis, spectral theory and noncommutative harmonic analysis.
 In 65 we establish two results concerning the Quantum Limits (QLs) of some subLaplacians. First, under a commutativity assumption on the vector fields involved in the definition of the subLaplacian, we prove that it is possible to split any QL into several pieces which can be studied separately, and which come from wellcharacterized parts of the associated sequence of eigenfunctions. Secondly, building upon this result, we classify all QLs of a particular family of subLaplacians defined on products of compact quotients of Heisenberg groups. We express the QLs through a disintegration of measure result which follows from a natural spectral decomposition of the subLaplacian in which harmonic oscillators appear. Both results are based on the construction of an adequate elliptic operator commuting with the subLaplacian, and on the associated joint spectral calculus. They illustrate the fact that, because of the possibly high degeneracy of the spectrum, the spectral theory of subLaplacians can be very rich.
 In 59 we classify the selfadjoint realisations of the LaplaceBeltrami operator minimally defined on an infinite cylinder equipped with an incomplete Riemannian metric of Grushin type, in the nontrivial class of metrics yielding an infinite deficiency index. Such realisations are naturally interpreted as Hamiltonians governing the geometric confinement of a Schrödinger quantum particle away from the singularity, or the dynamical transmission across the singularity. In particular, we characterise all physically meaningful extensions qualified by explicit local boundary conditions at the singularity. Within our general classification we retrieve those distinguished extensions previously identified in the recent literature, namely the most confining and the most transmitting one.
 In 58 we study the isoperimetric problem for anisotropic leftinvariant perimeter measures on ${\mathbb{R}}^{3}$, endowed with the Heisenberg group structure. The perimeter is associated with a leftinvariant norm $\varphi $ on the horizontal distribution. We first prove a representation formula for the $\varphi $perimeter of regular sets and, assuming some regularity on $\varphi $ and on its dual norm ${\varphi}^{*}$, we deduce a foliation property by subFinsler geodesics of ${\mathrm{C}}^{2}$smooth surfaces with constant $\varphi $curvature. We then prove that the characteristic set of ${\mathrm{C}}^{2}$smooth surfaces that are locally extremal for the isoperimetric problem is made of isolated points and horizontal curves satisfying a suitable differential equation. Based on such a characterization, we characterize ${\mathrm{C}}^{2}$smooth $\varphi $isoperimetric sets as the subFinsler analogue of Pansu's bubbles. We also show, under suitable regularity properties on $\varphi $, that such subFinsler candidate isoperimetric sets are indeed ${\mathrm{C}}^{2}$smooth. By an approximation procedure, we finally prove a conditional minimality property for the candidate solutions in the general case (including the case where $\varphi $ is crystalline).
 It is wellknown that observability (and, by duality, controllability) of the elliptic wave equation, i.e., with a Riemannian Laplacian, in time ${T}_{0}$ is almost equivalent to the Geometric Control Condition (GCC), which stipulates that any geodesic ray meets the control set within time ${T}_{0}$. We show in 66 that in the subelliptic setting, GCC is never verified, and that subelliptic wave equations are never observable in finite time. More precisely, given any subelliptic Laplacian $\Delta ={\sum}_{i=1}^{m}{X}_{i}^{*}{X}_{i}$ on a manifold $M$ such that $\mathrm{Lie}({X}_{1},...,{X}_{m})=TM$ but $\mathrm{Span}({X}_{1},...,{X}_{m})\ne TM$, we show that for any ${T}_{0}>0$ and any measurable subset $\omega \subset M$ such that $M\setminus \omega $ has nonempty interior, the wave equation with subelliptic Laplacian $\Delta $ is not observable on $\omega $ in time ${T}_{0}$. The proof is based on the construction of sequences of solutions of the wave equation concentrating on spiraling geodesics (for the associated subRiemannian distance) spending a long time in $M\setminus \omega $. As a counterpart, we prove a positive result of observability for the wave equation in the Heisenberg group, where the observation set is a wellchosen part of the phase space.
 Because they reduce the search domains for geodesic paths in manifolds, subRiemannian methods can be used both as computational and modeling tools in designing distances between complex objects. 43 provides a review of the methods that have been recently introduced in this context to study shapes, with a special focus on shape spaces defined as homogeneous spaces under the action of diffeomorphisms. It describes subRiemannian methods that are based on control points, possibly enhanced with geometric information, and their generalization to deformation modules. It also discusses the introduction of implicit constraints on geodesic evolution, and the associated computational challenges. Several examples and numerical results are provided as illustrations.
 In 67, we study the observability (or, equivalently, the controllability) of some subelliptic evolution equations depending on their step. This sheds light on the speed of propagation of these equations, notably in the “degenerated directions” of the subelliptic structure. First, for any $\gamma \ge 1$, we establish a resolvent estimate for the BaouendiGrushintype operator ${\Delta}_{\gamma}={\partial}_{x}^{2}+{\leftx\right}^{2\gamma}{\partial}_{y}^{2}$, which has step $\gamma +1$. We then derive consequences for the observability of the Schrödinger type equation $i{\partial}_{t}u{({\Delta}_{\gamma})}^{s}u=0$ where $s\in N$. We identify three different cases: depending on the value of the ratio $(\gamma +1)/s$, observability may hold in arbitrarily small time, or only for sufficiently large times, or even fail for any time. As a corollary of our resolvent estimate, we also obtain observability for heattype equations ${\partial}_{t}u+{({\Delta}_{\gamma})}^{s}u=0$ and establish a decay rate for the damped wave equation associated with ${\Delta}_{\gamma}$.
 In 15 we prove the ${C}^{1}$ regularity for a class of abnormal lengthminimizers in rank 2 subRiemannian structures. As a consequence of our result, all lengthminimizers for rank 2 subRiemannian structures of step up to 4 are of class ${C}^{1}$
 In 57 we give necessary and sufficient conditions for the controllability of a Schrödinger equation involving a subelliptic operator on a compact manifold. This subelliptic operator is the subLaplacian of the manifold that is obtained by taking the quotient of a group of Heisenberg type by one of its discrete subgroups. This class of nilpotent Lie groups is a major example of stratified Lie groups of step 2. The subLaplacian involved in these Schrödinger equations is subelliptic, and, contrarily to what happens for the usual elliptic Schrödinger equation for example on flat tori or on negatively curved manifolds, there exists a minimal time of controllability. The main tools used in the proofs are (operatorvalued) semiclassical measures constructed by use of representation theory and a notion of semiclassical wave packets that we introduce here in the context of groups of Heisenberg type.
 In 14 we are concerned with stochastic processes on surfaces in threedimensional contact subRiemannian manifolds. Employing the Riemannian approximations to the subRiemannian manifold which make use of the Reeb vector field, we obtain a second order partial differential operator on the surface arising as the limit of LaplaceBeltrami operators. The stochastic process associated with the limiting operator moves along the characteristic foliation induced on the surface by the contact distribution. We show that for this stochastic process elliptic characteristic points are inaccessible, while hyperbolic characteristic points are accessible from the separatrices. We illustrate the results with examples and we identify canonical surfaces in the Heisenberg group, and in $\mathrm{SU}\left(2\right)$ and $\mathrm{SL}(2,\mathbb{R})$ equipped with the standard subRiemannian contact structures as model cases for this setting. Our techniques further allow us to derive an expression for an intrinsic Gaussian curvature of a surface in a general threedimensional contact subRiemannian manifold.
 In 11 we show that, for a subLaplacian $\Delta $ on a 3dimensional manifold $M$, no point interaction centered at a point ${q}_{0}\in M$ exists.
 In 20 we consider a oneparameter family of Grushintype singularities on surfaces, and discuss the possible diffusions that extend Brownian motion to the singularity. This gives a quick proof and clear intuition for the fact that heat can only cross the singularity for an intermediate range of the parameter. When crossing is possible and the singularity consists of one point, we give a complete description of these diffusions, and we describe a “best” extension, which respects the isometry group of the surface and also realizes the unique symmetric onepoint extension of the Brownian motion, in the sense of ChenFukushima. This extension, however, does not correspond to the bridging extension, which was introduced by BoscainPrandi, when they previously considered selfadjoint extensions of the LaplaceBeltrami operator on the Riemannian part for these surfaces. We clarify that several of the extensions they considered induce diffusions that are carried by the Marin compactification at the singularity, which is much larger than the (onepoint) metric completion. In the case when the singularity is more than onepoint, a complete classification of diffusions extending Brownian motion would be unwieldy. Nonetheless, we again describe a “best” extension which respects the isometry group, and in this case, this diffusion corresponds to the bridging extension. A prominent role is played by Bessel processes (of every real dimension) and the classical theory of onedimensional diffusions and their boundary conditions.
 Analogous to the characterisation of Brownian motion on a Riemannian manifold as the development of Brownian motion on a Euclidean space, we construct in 50 subRiemannian diffusions on equinilpotentisable subRiemannian manifolds by developing a canonical stochastic process arising as the lift of Brownian motion to an associated model space. The notion of stochastic development we introduce for equinilpotentisable subRiemannian manifolds uses Cartan connections, which take the place of the Levi–Civita connection in Riemannian geometry. We first derive a general expression for the generator of the stochastic process which is the stochastic development with respect to a Cartan connection of the lift of Brownian motion to the model space. We further provide a necessary and sufficient condition for the existence of a Cartan connection which develops the canonical stochastic process to the subRiemannian diffusion associated with the subLaplacian defined with respect to the Popp volume. We illustrate the construction of a suitable Cartan connection for free subRiemannian structures with two generators and we discuss an example where the condition is not satisfied.
 Twodimension almostRiemannian structures of step 2 are natural generalizations of the Grushin plane. They are generalized Riemannian structures for which the vectors of a local orthonormal frame can become parallel. Under the 2step assumption the singular set $Z$, where the structure is not Riemannian, is a 1D embedded submanifold. While approaching the singular set, all Riemannian quantities diverge. A remarkable property of these structure is that the geodesics can cross the singular set without singularities, but the heat and the solution of the Schrödinger equation (with the LaplaceBeltrami operator $\Delta $) cannot. This is due to the fact that (under a natural compactness hypothesis), the LaplaceBeltrami operator is essentially selfadjoint on a connected component of the manifold without the singular set. In the literature such phenomenon is called quantum confinement. In 49 we study the selfadjointness of the curvature Laplacian, namely $\frac{1}{2}\Delta +cK$, for $c>0$ (here $K$ is the Gaussian curvature), which originates in coordinate free quantization procedures (as for instance in pathintegral or covariant Weyl quantization). We prove that there is no quantum confinement for this type of operators.
We would also like to mention the monograph 42, which was finally published in 2020.
6.2 Quantum control: new results
Let us list here our new results in quantum control theory.
 In 37 we study the controllability properties of the quantum rotational dynamics of a 3D symmetric molecule, with electric dipole moment not collinear to the symmetry axis of the molecule (that is, an accidentally symmetrictop). We control the dynamics with three orthogonally polarized electric fields. When the dipole has a nonzero component along the symmetry axis, it is known that the dynamics is approximately controllable. We focus here our attention to the case where the dipole moment and the symmetry axis are orthogonal (that is, an orthogonal accidentally symmetrictop), providing a description of the reachable sets.
 In 45 we study up to which extent we can apply adiabatic control strategies to a quantum control model obtained by rotating wave approximation. In particular, we show that, under suitable assumptions on the asymptotic regime between the parameters characterizing the rotating wave and the adiabatic approximations, the induced flow converges to the one obtained by considering the two approximations separately and by combining them formally in cascade. As a consequence, we propose explicit control laws which can be used to induce desired populations transfers, robustly with respect to parameter dispersions in the controlled Hamiltonian.
 In 13 we study oneparametric perturbations of finite dimensional real Hamiltonians depending on two controls, and we show that generically in the space of Hamiltonians, conical intersections of eigenvalues can degenerate into semiconical intersections of eigenvalues. Then, through the use of normal forms, we study the problem of ensemble controllability between the eigenstates of a generic Hamiltonian.
 In 21 we study the controllability problem for a symmetrictop molecule, both for its classical and quantum rotational dynamics. As controlled fields we consider three orthogonally polarized electric fields which interact with the electric dipole of the molecule. We characterize the controllability in terms of the dipole position: when it lies along the symmetry axis of the molecule nor the classical neither the quantum dynamics are controllable, due to the presence of a conserved quantity, the third component of the total angular momentum; when it lies in the orthogonal plane to the symmetry axis, a quantum symmetry arises, due to the superposition of symmetric states, which as no classical counterpart. If the dipole is neither along the symmetry axis nor orthogonal to it, controllability for the classical dynamics and approximate controllability for the quantum dynamics is proved to hold.
 In the physics literature it is common to see the rotating wave approximation and the adiabatic approximation used “in cascade” to justify the use of chirped pulses for twolevel quantum systems driven by one external field, in particular when the resonance frequency of the system is not known precisely. Both approximations need relatively long time and are essentially based on averaging theory of dynamical systems. Unfortunately, the two approximations cannot be done independently since, in a sense, the two time scales interact. The purpose of 70 is to study how the cascade of the two approximations can be justified and how large becomes the final time as the fidelity goes to one, while preserving the robustness of the adiabatic strategy. Our main result gives a precise quantification of the uncertainty interval of the resonance frequency for which the strategy works.
 In 62 we prove complete controllability for rotational states of an asymmetric top molecule belonging to degenerate values of the orientational quantum number $M$. Based on this insight, we construct a pulse sequence that energetically separates population initially distributed over degenerate $M$states, as a precursor for orientational purification. Introducing the concept of enantioselective controllability, we determine the conditions for complete enantiomerspecific population transfer in chiral molecules and construct pulse sequences realizing this transfer for population initially distributed over degenerate $M$states. This degeneracy presently limits enantiomerselectivity for any initial state except the rotational ground state. Our work thus shows how to overcome an important obstacle towards separating, with electric fields only, lefthanded from righthanded molecules in a racemic mixture.
 Optimal Control Theory has become a widely used method to improve process performance in quantum technologies by means of highly efficient control of quantum dynamics. Our review 51 aims at providing an introduction to key concepts of optimal control theory, accessible to physicists and engineers working in quantum control or in related fields. The different mathematical results are introduced intuitively, before being rigorously stated. The review describes modern aspects of optimal control theory, with a particular focus on the Pontryagin Maximum Principle, which is the main tool for determining openloop control laws without experimental feedback. The different steps to solve an optimal control problem are discussed, before moving on to more advanced topics such as the existence of optimal solutions or the definition of the different types of extremals, namely normal, abnormal, and singular. The review covers various quantum control issues and describes their mathematical formulation suitable for optimal control. The optimal solution of different lowdimensional quantum systems is presented in detail, illustrating how the mathematical tools are applied in a practical way.
6.3 Stability and uncertain dynamics: new results
Let us list here our new results about stability and stabilization of control systems, on the properties of systems with uncertain dynamics.
 In 29 we consider the finitetime stabilization of homogeneous quasilinear hyperbolic systems with one side controls and with nonlinear boundary condition at the other side. We present timeindependent feedbacks leading to the finitetime stabilization in any time larger than the optimal time for the null controllability of the linearized system if the initial condition is sufficiently small. One of the key technical points is to establish the local wellposedness of quasilinear hyperbolic systems with nonlinear, nonlocal boundary conditions.
 In 26 we are concerned with the design of Model Predictive Control (MPC) schemes such that asymptotic stability of the resulting closed loop is guaranteed even if the linearization at the desired set point fails to be stabilizable. Therefore, we propose to construct the stage cost based on the homogeneous approximation and rigorously show that applying MPC yields an asymptotically stable closedloop behavior if the homogeneous approximation is asymptotically null controllable. To this end, we verify cost controllability – a condition relating the current state, the stage cost, and the growth of the value function w.r.t. time – for this class of systems in order to provide stability and performance guarantees for the proposed MPC scheme without stabilizing terminal costs or constraints.
 In 48 we give sufficient conditions for InputtoState Stability in ${C}^{1}$ norm of general quasilinear hyperbolic systems with boundary input disturbances. In particular the derivation of explicit InputtoState Stability conditions is discussed for the special case of $2\times 2$ systems.
 Because they represent physical systems with propagation delays, hyperbolic systems are well suited for feedforward control. This is especially true when the delay between a disturbance and the output is larger than the control delay. In 47 we address the design of feedforward controllers for a general class of $2\times 2$ hyperbolic systems with a single disturbance input located at one boundary and a single control actuation at the other boundary. The goal is to design a feedforward control that makes the system output insensitive to the measured disturbance input. We show that, for this class of systems, there exists an efficient ideal feedforward controller which is causal and stable. The problem is first stated and studied in the frequency domain for a simple linear system. Then, our main contribution is to show how the theory can be extended, in the time domain, to general nonlinear hyperbolic systems. The method is illustrated with an application to the control of an open channel represented by SaintVenant equations where the objective is to make the output water level insensitive to the variations of the input flow rate. Finally, we address a more complex application to a cascade of pools where a blind application of perfect feedforward control can lead to detrimental oscillations. A pragmatic way of modifying the control law to solve this problem is proposed and validated with a simulation experiment.
 In 27 we are interested in the boundary stabilization in finite time of onedimensional linear hyperbolic balance laws with coefficients depending on time and space. We extend the so called “backstepping method” by introducing appropriate timedependent integral transformations in order to map our initial system to a new one which has desired stability properties. The kernels of the integral transformations involved are solutions to nonstandard multidimensional hyperbolic PDEs, where the time dependence introduces several new difficulties in the treatment of their wellposedness. This work generalizes previous results of the literature, where only timeindependent systems were considered.
 Partial stability characterizes dynamical systems for which only a part of the state variables exhibits a stable behavior. In his book on partial stability, Vorotnikov proposed a sufficient condition to establish this property through a Lyapunovlike function whose total derivative is upperbounded by a negative definite function involving only the substate of interest. In 35, we show with a simple twodimensional system that this statement is wrong in general. More precisely, we show that the convergence rate of the relevant state variables may not be uniform in the initial state. We also discuss the impact of this lack of uniformity on the connected issue of robustness with respect to exogenous disturbances.
 The paper 68 is concerned with the Proportional Integral (PI) regulation control of the left Neumann trace of a onedimensional semilinear wave equation. The control input is selected as the right Neumann trace. The control design goes as follows. First, a preliminary (classical) velocity feedback is applied in order to shift all but a finite number of the eivenvalues of the underlying unbounded operator into the open left halfplane. We then leverage on the projection of the system trajectories into an adequate Riesz basis to obtain a truncated model of the system capturing the remaining unstable modes. Local stability of the resulting closedloop infinitedimensional system composed of the semilinear wave equation, the preliminary velocity feedback, and the PI controller, is obtained through the study of an adequate Lyapunov function. Finally, an estimate assessing the set point tracking performance of the left Neumann trace is derived.
 Given a linear control system in a Hilbert space with a bounded control operator, we establish in 36 a characterization of exponential stabilizability in terms of an observability inequality. Such dual characterizations are well known for exact (null) controllability. Our approach exploits classical Fenchel duality arguments and, in turn, leads to characterizations in terms of observability inequalities of approximately null controllability and of $\alpha $null controllability. We comment on the relationships between those various concepts, at the light of the observability inequalities that characterize them.
 In 18 we propose an extension of the theory of control sets to the case of inputs satisfying a dwelltime constraint. Although the class of such inputs is not closed under concatenation, we propose a suitably modified definition of control sets that allows to recover some important properties known in the concatenable case. In particular we apply the control set construction to dwelltime linear switched systems, characterizing their maximal Lyapunov exponent looking only at trajectories whose angular component is periodic. We also use such a construction to characterize supports of invariant measures for random switched systems with dwelltime constraints.
 Given a discretetime linear switched system associated with a finite set of matrices, we consider the measures of its asymptotic behavior given by, on the one hand, its deterministic joint spectral radius and, on the other hand, its probabilistic joint spectral radius for Markov random switching signals with given transition matrix and corresponding invariant probability. In 25, we investigate the cases of equality between the two measures.
 The general context of 32 is the feedback control of an infinitedimensional system so that the closedloop system satisfies a fadingmemory property and achieves the setpoint tracking of a given reference signal. More specifically , this paper is concerned with the Proportional Integral (PI) regulation control of the left Neumann trace of a onedimensional reactiondiffusion equation with a delayed right Dirichlet boundary control. In this setting, the studied reactiondiffusion equation might be either openloop stable or unstable. The proposed control strategy goes as follows. First, a finitedimensional truncated model that captures the unstable dynamics of the original infinitedimensional system is obtained via spectral decomposition. The truncated model is then augmented by an integral component on the tracking error of the left Neumann trace. After resorting to the Artstein transformation to handle the control input delay, the PI controller is designed by pole shifting. Stability of the resulting closedloop infinitedimensional system, consisting of the original reactiondiffusion equation with the PI controller, is then established thanks to an adequate Lyapunov function. In the case of a timevarying reference input and a timevarying distributed disturbance, our stability result takes the form of an exponential InputtoState Stability (ISS) estimate with fading memory. Finally, another exponential ISS estimate with fading memory is established for the tracking performance of the reference signal by the system output. In particular, these results assess the setpoint regulation of the left Neumann trace in the presence of distributed perturbations that converge to a steadystate value and with a timederivative that converges to zero. Numerical simulations are carried out to illustrate the efficiency of our control strategy.
 In 72 we use the backstepping method to study the stabilization of a 1D linear transport equation on the interval $(0,L)$, by controlling the scalar amplitude of a piecewise regular function of the space variable in the source term. We prove that if the system is controllable in a periodic Sobolev space of order greater than 1, then the system can be stabilized exponentially in that space and, for any given decay rate, we give an explicit feedback law that achieves that decay rate.
 In 39, we discuss our recent works on the nullcontrollability, the exact controllability, and the stabilization of linear hyperbolic systems in one dimensional space using boundary controls on one side for the optimal time. Under precise and generic assumptions on the boundary conditions on the other side, we first obtain the optimal time for the null and the exact controllability for these systems for a generic source term. We then prove the nullcontrollability and the exact controllability for any time greater than the optimal time and for any source term. Finally, for homogeneous systems, we design feedbacks which stabilize the systems and bring them to the zero state at the optimal time. Extensions for the nonlinear homogeneous system are also discussed.
 Hyperbolic systems in one dimensional space are frequently used in modeling of many physical systems. In our recent works, we introduced time independent feedbacks leading to the finite stabilization for the optimal time of homogeneous linear and quasilinear hyperbolic systems. In 56 we present Lyapunov's functions for these feedbacks and use estimates for Lyapunov's functions to rediscover the finite stabilization results.
 In 60 we deal with infinitedimensional nonlinear forward complete dynamical systems which are subject to external disturbances. We first extend the wellknown Datko lemma to the framework of the considered class of systems. Thanks to this generalization, we provide characterizations of the uniform (with respect to disturbances) local, semiglobal, and global exponential stability, through the existence of coercive and noncoercive Lyapunov functionals. The importance of the obtained results is underlined through some applications concerning 1) exponential stability of nonlinear retarded systems with piecewise constant delays, 2) exponential stability preservation under sampling for semilinear control switching systems, and 3) the link between inputtostate stability and exponential stability of semilinear switching systems.
6.4 Controllability: new results
Let us list here our new results on controllability beyond the quantum control framework.
 The paper 55 is devoted to the local nullcontrollability of the nonlinear KdV equation equipped the Dirichlet boundary conditions using the Neumann boundary control on the right. Rosier proved that this KdV system is smalltime locally controllable for all noncritical lengths and that the uncontrollable space of the linearized system is of finite dimension when the length is critical. Concerning critical lengths, Coron and Crépeau showed that the same result holds when the uncontrollable space of the linearized system is of dimension 1, and later Cerpa, and then Cerpa and Crépeau established that the local controllability holds at a finite time for all other critical lengths. In this paper, we prove that, for a class of critical lengths, the nonlinear KdV system is not smalltime locally controllable.
 Under a regularity assumption we prove in 52 that reachability in fixed time for nonlinear control systems is robust under control sampling.
 In 28, we investigate the smalltime global exact controllability of the NavierStokes equation , both towards the null equilibrium state and towards weak trajectories. We consider a viscous incompressible fluid evolving within a smooth bounded domain, either in 2D or in 3D. The controls are only located on a small part of the boundary, intersecting all its connected components. On the remaining parts of the boundary, the fluid obeys a Navier slipwithfriction boundary condition. Even though viscous boundary layers appear near these uncontrolled boundaries, we prove that smalltime global exact controllability holds. Our analysis relies on the controllability of the Euler equation combined with asymptotic boundary layer expansions. Choosing the boundary controls with care enables us to guarantee good dissipation properties for the residual boundary layers, which can then be exactly canceled using local techniques.
 In 24, we study approximate and exact controllability of linear difference equations using as a basic tool a representation formula for its solution in terms of the initial condition, the control, and some suitable matrix coefficients. When the delays are commensurable, approximate and exact controllability are equivalent and can be characterized by a Kalman criterion. The paper focuses on providing characterizations of approximate and exact controllability without the commensurability assumption. In the case of twodimensional systems with two delays, we obtain an explicit characterization of approximate and exact controllability in terms of the parameters of the problem. In the general setting, we prove that approximate controllability from zero to constant states is equivalent to approximate controllability in ${L}^{2}$. The corresponding result for exact controllability is true at least for twodimensional systems with two delays.
 It has been proved by Zuazua in the nineties that the internally controlled semilinear 1D wave equation ${\partial}_{tt}y{\partial}_{xx}y+g\left(y\right)=f{1}_{\omega}$, with Dirichlet boundary conditions, is exactly controllable in ${H}_{0}^{1}(0,1)\cap {L}^{2}(0,1)$ with controls $f\in {L}^{2}((0,1)\times (0,T))$, for any $T>0$ and any nonempty open subset $\omega $ of $(0,1)$, assuming that $g\in {C}^{1}\left(\mathbb{R}\right)$ does not grow faster than $\beta \leftx\right{ln}^{2}\leftx\right$ at infinity for some $\beta >0$ small enough. The proof, based on the LeraySchauder fixed point theorem, is however not constructive. In 69, we design a constructive proof and algorithm for the exact controllability of semilinear 1D wave equations.
 Our goal in 63 is to relate the observation (or control) of the wave equation on observation domains which evolve in time with some dynamical properties of the geodesic flow. In comparison to the case of static domains of observation, we show that the observability of the wave equation in any dimension of space can be improved by allowing the domain of observation to move.
 In 33 we consider the controllability problem for finitedimensional linear autonomous control systems with nonnegative controls. Despite the Kalman condition, the unilateral nonnegativity control constraint may cause a positive minimal controllability time. When this happens, we prove that, if the matrix of the system has a real eigenvalue, then there is a minimal time control in the space of Radon measures, which consists of a finite sum of Dirac impulses. When all eigenvalues are real, this control is unique and the number of impulses is less than half the dimension of the space. We also focus on the control system corresponding to a finitedifference spatial discretization of the onedimensional heat equation with Dirichlet boundary controls, and we provide numerical simulations.
6.5 Optimal control: new results
Let us list here our new results in optimal control theory beyond quantum control and the subRiemannian framework.
 In 12 we introduce a new optimal control model which encompasses pace optimization and motor control effort for a runner on a fixed distance. The system couples mechanics, energetics, neural drive to an economic decision theory of cost and benefit. We find how effort is minimized to produce the best running strategy, in particular in the bend. This allows us to discriminate between different types of tracks and estimate the discrepancy between lanes. Relating this model to the optimal path problem called the Dubins path, we are able to determine the geometry of the optimal track and estimate record times.
 Our aim in 44 is to present a new model which encompasses pace optimization and motor control effort for a runner on a fixed distance. We see that for long races, the long term behaviour is well approximated by a turnpike problem. We provide numerical simulations quite consistent with this approximation which leads to a simplified problem. We are also able to estimate the effect of slopes and ramps.
 In 30 we study a twosided spacetime ${L}^{1}$ optimization problem and show how to reformulate the problem within the framework of optimal control theory for polynomial systems. This yields insight on the structure of the optimal solution. We prove existence and uniqueness of the optimal solution, and we characterize it by means of the Pontryagin maximum principle. The cost function and the control converge when the polynomial degree tends to $+\infty $. We illustrate the theory with numerical simulations, which show that our optimal control interpretation leads to efficient algorithms.
 In 17 we study how bad can be the singularities of a timeoptimal trajectory of a generic control affine system. In the case where the control is scalar and belongs to a closed interval it was recently shown that singularities cannot be, generically, worse than finite order accumulations of Fuller points, with order of accumulation lower than a bound depending only on the dimension of the manifold where the system is set. We extend here such a result to the case where the control has an even number of scalar components and belongs to a closed ball.
 In 19 we develop a geometric analysis and a numerical algorithm, based on indirect methods, to solve optimal guidance of endoatmospheric launch vehicle systems under mixed controlstate constraints. Two main difficulties are addressed. First, we tackle the presence of Euler singularities by introducing a representation of the configuration manifold in appropriate local charts. In these local coordinates, not only the problem is free from Euler singularities but also it can be recast as an optimal control problem with only pure control constraints. The second issue concerns the initialization of the shooting method. We introduce a strategy which combines indirect methods with homotopies, thus providing high accuracy. We illustrate the efficiency of our approach by numerical simulations on missile interception problems under challenging scenarios.
 We introduce and study in 31 the turnpike property for timevarying shapes, within the viewpoint of optimal control. We focus here on secondorder linear parabolic equations where the shape acts as a source term and we seek the optimal timevarying shape that minimizes a quadratic criterion. We first establish existence of optimal solutions under some appropriate sufficient conditions. We then provide necessary conditions for optimality in terms of adjoint equations and, using the concept of strict dissipativity, we prove that state and adjoint satisfy the measureturnpike property, meaning that the extremal timevarying solution remains essentially close to the optimal solution of an associated static problem. We show that the optimal shape enjoys the exponential turnpike property in term of Hausdorff distance for a Mayer quadratic cost. We illustrate the turnpike phenomenon in optimal shape design with several numerical simulations.
 The work 61 proposes a new approach to optimize the consumption of a hybrid electric vehicle taking into account the traffic conditions. The method is based on a bilevel decomposition in order to make the implementation suitable for online use. The offline lower level computes cost maps thanks to a stochastic optimization that considers the influence of traffic, in terms of speed/acceleration probability distributions. At the online upper level, a deterministic optimization computes the ideal state of charge at the end of each road segment, using the computed cost maps. Since the high computational cost due to the uncertainty of traffic conditions has been managed at the lower level, the upper level is fast enough to be used online in the vehicle. Errors due to discretization and computation in the proposed algorithm have been studied. Finally, we present numerical simulations using actual traffic data, and compare the proposed bilevel method to a deterministic optimization with perfect information about traffic conditions. The solutions show a reasonable overconsumption compared with deterministic optimization, and manageable computational times for both the offline and online parts.
 In 23 we revisit and extend the Riccati theory, unifying continuoustime linearquadratic optimal permanent and sampleddata control problems, in finite and infinite time horizons. In a nutshell, we prove that: – when the time horizon T tends to $+\infty $, one passes from the SampledData Difference Riccati Equation (SDDRE) to the SampledData Algebraic Riccati Equation (SDARE), and from the Permanent Differential Riccati Equation (PDRE) to the Permanent Algebraic Riccati Equation (PARE); – when the maximal step of the time partition $\Delta $ tends to 0, one passes from (SDDRE) to (PDRE), and from (SDARE) to (PARE). Our notations and analysis provide a unified framework in order to settle all corresponding results.
 The turnpike phenomenon stipulates that the solution of an optimal control problem in large time, remains essentially close to a steadystate of the dynamics, itself being the optimal solution of an associated static optimal control problem. Under general assumptions, it is known that not only the optimal state and the optimal control, but also the adjoint state coming from the application of the Pontryagin maximum principle, are exponentially close to a steadystate, except at the beginning and at the end of the time frame. In such results, the turnpike set is a singleton, which is a steadystate. In 71 we establish a turnpike result for finitedimensional optimal control problems in which some of the coordinates evolve in a monotone way, and some others are partial steadystates of the dynamics. We prove that the discrepancy between the optimal trajectory and the turnpike set is then linear, but not exponential: we thus speak of a linear turnpike theorem.
 An extension of the bilevel optimization for the energy management of hybrid electric vehicles (HEVs) proposed in 61 to the ecorouting problem is presented in 40. Using the knowledge of traffic conditions over the entire road network, we search both the optimal path and state of charge trajectory. This problem results in finding the shortest path on a weighted graph whose nodes are (position, state of charge) pairs for the vehicle, the edge cost being evaluated thanks to the cost maps from optimization at the 'micro' level of a bilevel decomposition. The error due to the discretization of the state of charge is proven to be linear if the cost maps are Lipschitz. The classical ${A}^{*}$ algorithm is used to solve the problem, with a heuristic based on a lower bound of the energy needed to complete the travel. The ecorouting method is validated by numerical simulations and compared to the fastest path on a synthetic road network.
 In 41 we study a driftless system on a threedimensional manifold driven by two scalar controls. We assume that each scalar control has an independent bound on its modulus and we prove that, locally around every point where the controlled vector fields satisfy some suitable nondegeneracy Lie bracket condition, every timeoptimal trajectory has at most five bang or singular arcs. The result is obtained using firstand secondorder necessary conditions for optimality.
 In 53 we deal with the problem of approximating a scalar conservation law by a conservation law with nonlocal flux. As convolution kernel in the nonlocal flux, we consider an exponentialtype approximation of the Dirac distribution. This enables us to obtain a total variation bound on the nonlocal term. By using this, we prove that the (unique) weak solution of the nonlocal problem converges strongly in $C\left({L}_{\mathrm{loc}}^{1}\right)$ to the entropy solution of the local conservation law. We conclude with several numerical illustrations which underline the main results and, in particular, the difference between the solution and the nonlocal term.
7 Bilateral contracts and grants with industry
7.1 Bilateral contracts with industry
Contract CIFRE with ArianeGroup (les Mureaux), 2019–2021, funding the thesis of A. Nayet. Participants : M. Cerf (ArianeGroup), E. Trélat (coordinator).
A new contract is being signed by E. Trélat with MBDA.
7.2 Bilateral grants with industry
New grant by AFOSR ( Air Force Office of Scientific Research), 2020–2023. Participants : Mohab Safey El Din (LIP6), E. Trélat.
8 Partnerships and cooperations
8.1 International research visitors
Andrei Agrachev (SISSA, Italy) was expected to start his Inria International Chair in 2020. However, due to Covidrelated restrictions, he had to cancel his visit scheduled for the Fall. He will start his Chair spending two months in Paris in Fall 2021.
8.1.1 Visits of international scientists
HoaiMinh Nguyen spend two months visitng CAGE (October and December), working in particular with JeanMichel Coron.
8.1.2 Visits to international teams
Ugo Boscain visited SISSA in January 2020.
8.2 European initiatives
8.2.1 FP7 & H2020 Projects
Program: H2020EU.1.3.1.  Fostering new skills by means of excellent initial training of researchers
Call for proposal: MSCAITN2017  Innovative Training Networks
Project acronym: QUSCO
Project title: Quantumenhanced Sensing via Quantum Control
Duration: From November 2017 to October 2021.
Coordinator: Christiane Koch
Coordinator for the participant Inria: Ugo Boscain
Abstract: Quantum technologies aim to exploit quantum coherence and entanglement, the two essential elements of quantum physics. Successful implementation of quantum technologies faces the challenge to preserve the relevant nonclassical features at the level of device operation. It is thus deeply linked to the ability to control open quantum systems. The currently closest to market quantum technologies are quantum communication and quantum sensing. The latter holds the promise of reaching unprecedented sensitivity, with the potential to revolutionize medical imaging or structure determination in biology or the controlled construction of novel quantum materials. Quantum control manipulates dynamical processes at the atomic or molecular scale by means of specially tailored external electromagnetic fields. The purpose of QuSCo is to demonstrate the enabling capability of quantum control for quantum sensing and quantum measurement, advancing this field by systematic use of quantum control methods. QuSCo will establish quantum control as a vital part for progress in quantum technologies. QuSCo will expose its students, at the same time, to fundamental questions of quantum mechanics and practical issues of specific applications. Albeit challenging, this reflects our view of the best possible training that the field of quantum technologies can offer. Training in scientific skills is based on the demonstrated tradition of excellence in research of the consortium. It will be complemented by training in communication and commercialization. The latter builds on strong industry participation whereas the former existing expertise on visualization and gamification and combines it with more traditional means of outreach to realize target audience specific public engagement strategies.
8.3 National initiatives
The Inria Exploratory Action “StellaCage” is supporting since Spring 2020 a collaboration between CAGE, Yannick Privat (Inria team TONUS), and the startup Renaissance Fusion, based in Grenoble (Francesco Volpe, CEO & Chris Smiet, CSO).
StellaCage approaches the problem of designing better stellarators (yielding better confinement, with simpler coils, capable of higher fields) by combining geometrical properties of magnetic field lines from the control perspective with shape optimization techniques.
8.3.1 ANR
 ANR SRGI, for SubRiemannian Geometry and Interactions, coordinated by Emmanuel Trélat, started in 2015 and runs until early 2021, thanks to a 6 months extension related to the Covid pandemic. Other partners: Toulon University and Grenoble University. SRGI deals with subRiemannian geometry, hypoelliptic diffusion and geometric control.
 ANR TRECOS, for New Trends in Control and Stabilization: Constraints and nonlocal terms, coordinated by Sylvain Ervedoza, University of Bordeaux. The ANR started in 2021 and runs up to 2024. TRECOS' focus is on control theory for partial differential equations, and in particular models from ecology and biology.
 ANR QUACO, for QUAntum COntrol: PDE systems and MRI applications, coordinated by Thomas Chambrion, started in 2017 and runs until 2021. Other partners: Burgundy University. QUACO aims at contributing to quantum control theory in two directions: improving the comprehension of the dynamical properties of controlled quantum systems in infinitedimensional state spaces, and improve the efficiency of control algorithms for MRI.
9 Dissemination
9.1 Promoting scientific activities
9.1.1 Scientific events: organisation
Member of the organizing committees
Emmanuel Trélat was the main organizer of the SRGI conference: SubRiemannian Geometry and Interactions which was held in Paris in September 2020. Ugo Boscain was also in the Organizing Committe.
9.1.2 Journal
Member of the editorial boards
 Ugo Boscain is Associate editor of SIAM Journal of Control and Optimization
 Ugo Boscain is Managing editor of Journal of Dynamical and Control Systems
 JeanMichel Coron is Editorinchief of Comptes Rendus Mathématique
 JeanMichel Coron is Member of the editorial board of Journal of Evolution Equations
 JeanMichel Coron is Member of the editorial board of Asymptotic Analysis
 JeanMichel Coron is Member of the editorial board of ESAIM : Control, Optimisation and Calculus of Variations
 JeanMichel Coron is Member of the editorial board of Applied Mathematics Research Express
 JeanMichel Coron is Member of the editorial board of Advances in Differential Equations
 JeanMichel Coron is Member of the editorial board of Math. Control Signals Systems
 JeanMichel Coron is Member of the editorial board of Annales de l'IHP, Analyse non linéaire
 Mario Sigalotti is Associate editor of ESAIM : Control, Optimisation and Calculus of Variations
 Mario Sigalotti is Associate editor of Journal on Dynamical and Control Systems
 Emmanuel Trélat is Editorinchief of ESAIM : Control, Optimisation and Calculus of Variations
 Emmanuel Trélat is Associate editor of SIAM Review
 Emmanuel Trélat is Associate editor of Syst. Cont. Letters
 Emmanuel Trélat is Associate editor of J. Dynam. Cont. Syst.
 Emmanuel Trélat is Associate editor of Bollettino dell'Unione Matematica Italiana
 Emmanuel Trélat is Associate editor of ESAIM Math. Modelling Num. Analysis
 Emmanuel Trélat is Editor of BCAM Springer Briefs
 Emmanuel Trélat is Associate editor of J. Optim. Theory Appl.
 Emmanuel Trélat is Associate editor of Math. Control Related Fields
 Emmanuel Trélat is Associate editor of Mathematics of Control, Signals, and Systems (MCSS)
 Emmanuel Trélat is Associate editor of Optimal Control Applications and Methods (OCAM)
9.1.3 Invited talks
 Ugo Boscain was invited speaker at the MaxPlanck Institute for Quantum Optics. Munich (Germany), February.
 Ugo Boscain was invited speaker at the Workshop “Analysis, Control, and Learning of Dynamic Ensemble and Population Systems” at the 21st IFAC World Congress 2020, Berlin (virtual), July.
 Mario Sigalotti was invited speaker at the SRGI conference: SubRiemannian Geometry and Interactions, September.
 Mario Sigalotti was invited speaker at the Moscow seminar on optimal control geometric theory (virtual), June.
 Emmanuel Trélat was invited speaker at Colloquium of the University of Erlangen, Germany, January.
 Emmanuel Trélat was invited speaker at Conference “Spectral theory and geometry”, Chaleès, September.
 Emmanuel Trélat was invited speaker at the Opening Workshop of the GdR Sport, January.
 Emmanuel Trélat was invited speaker at the “Séminaire Analyse numérique – Equations aux dérivées partielles”, Lille, September.
 Emmanuel Trélat was invited speaker at the India PDE webinar (virtual), September.
 Emmanuel Trélat was invited speaker at SMU, Texas (virtual), May.
9.1.4 Research administration
Emmanuel Trélat is Head of the Laboratoire JacquesLouis Lions (LJLL).
9.2 Teaching  Supervision  Juries
9.2.1 Teaching
 Ugo Boscain thought “Automatic Control” (with Mazyar Mirrahimi) at Ecole Polytechnique
 Ugo Boscain thought “MODAL of applied mathematics. Contrôle de modèles dynamiques” at Ecole Polytechnique
 Ugo Boscain thought “Geometric Control theory and subRiemannian geometry” to PhD students at SISSA, Trieste, Italy
 Emmanuel Trélat thought “Contrôle en dimension finie et infinie” to M2 students at Sorbonne Université
 Emmanuel Trélat thought “Optimisation numeérique et sciences des donneées” to M1 students at Sorbonne Université
 Emmanuel Trélat thought “Matheématiques pour les eétudes scientifiques II” to L1 students at Sorbonne Université
9.2.2 Supervision
 PhD in progress: Daniele Cannarsa, “Contact Geometry, Direction Fields, and Applications to the Geometry of Vision”, started in October 2018. Supervisors: Davide Barilari (Padova, Italy) and Ugo Boscain.
 PhD in progress: Justine Dorsz, “Controôle de fluides et limites champ moyen”, started in September 2020. Supervisors: Olivier Glass (Dauphine) and Emmanuel Trélat.
 PhD in progress: Gontran Lance, started in September 2018, supervisors: Emmanuel Trélat and Enrique Zuazua.
 PhD in progress: Cyril Letrouit, “Équation des ondes sousriemanniennes”, started in September 2019, supervisor Emmanuel Trélat.
 PhD in progress: Emilio Molina, “Application of optimal control techniques to natural resources management”, started in September 2018, supervisors: Pierre Martinon, Héctor Ramírez, and Mario Sigalotti.
 PhD in progress: Aymeric Nayet, “Améliorations d'un solveur de contrôle optimal pour de nouvelles missions Ariane”, started in September 2019. Supervisor: Emmanuel Trélat.
 PhD in progress: Eugenio Pozzoli, “Adiabatic Control of Open Quantum Systems”, started in September 2018, supervisors: Ugo Boscain and Mario Sigalotti.
 PhD in progress: Rémi Robin, “Orbit spaces of Lie groups and applications to quantum control”, started in September 2019, supervisors: Ugo Boscain and Mario Sigalotti.
9.2.3 Juries
 Ugo Boscain was member of the jury of the HDR of Alain Sarlette.
 Mario Sigalotti was president of the jury of the PhD thesis of Cristina Urbani, GSSI, L'Aquila, Italy.
 Emmanuel Trélat was president of the jury of the HDR of L. Bourdin, Université de Limoges.
 Emmanuel Trélat was referee and member of the jury of the PhD thesis of I. Djebour, Université de Lorraine.
 Emmanuel Trélat was referee and member of the jury of the PhD thesis of C. Moreau, Inria Nice.
 Emmanuel Trélat was referee and member of the jury of the PhD thesis of D. Pighin, Univ. Madrid.
 Emmanuel Trélat was member of the jury of the PhD thesis of C. Zammali, CNAM.
9.3 Popularization
9.3.1 Interventions
 Emmanel Trélat was a speaker at the event “40 ans du CRAN”, Nancy.
 Emmanel Trélat was a speaker at the event “Mois de l'Optimisation”, Limoges.
10 Scientific production
10.1 Major publications
 1 article Stochastic processes on surfaces in threedimensional contact subRiemannian manifolds Annales de l'Institut Henri Poincaré (B) Probabilités et Statistiques 25 pages, 2 figures 2021
 2 articleOn the regularity of abnormal minimizers for rank 2 subRiemannian structuresJournal de Mathématiques Pures et Appliquées1332020, 118138
 3 article Corticalinspired WilsonCowantype equations for orientationdependent contrast perception modelling Journal of Mathematical Imaging and Vision June 2020
 4 articleOptimal Control of EndoAtmospheric Launch Vehicle Systems: Geometric and Computational IssuesIEEE Transactions on Automatic Control6562020, 24182433
 5 article Classical and quantum controllability of a rotating 3D symmetric molecule SIAM Journal on Control and Optimization 2020
 6 articleSmalltime global exact controllability of the NavierStokes equation with Navier slipwithfriction boundary conditionsJournal of the European Mathematical Society225May 2020, 16251673
 7 articleFinitetime stabilization in optimal time of homogeneous quasilinear hyperbolic systems in one dimensional spaceESAIM: Control, Optimisation and Calculus of Variations262020, 119
 8 articleNonnegative control of finitedimensional linear systemsAnnales de l'Institut Henri Poincaré (C) Non Linear Analysis382021, 301346
 9 article Image reconstruction through metamorphosis Inverse Problems 36 2020
 10 unpublishedOn the compatibility of the adiabatic and rotating wave approximations for robust population transfer in qubitsMarch 2020, working paper or preprint
10.2 Publications of the year
International journals
 11 article Point interactions for 3D subLaplacians Annales de l'Institut Henri Poincaré (C) Non Linear Analysis November 2020
 12 articleHow to build a new athletic track to break recordsRoyal Society Open Science72000072020, 10
 13 articleSemiconical eigenvalue intersections and the ensemble controllability problem for quantum systemsMathematical Control and Related Fields102020, 877911
 14 article Stochastic processes on surfaces in threedimensional contact subRiemannian manifolds Annales de l'Institut Henri Poincaré (B) Probabilités et Statistiques 2021
 15 articleOn the regularity of abnormal minimizers for rank 2 subRiemannian structuresJournal de Mathématiques Pures et Appliquées1332020, 118138
 16 article Corticalinspired WilsonCowantype equations for orientationdependent contrast perception modelling Journal of Mathematical Imaging and Vision June 2020
 17 articleFuller singularities for generic controlaffine systems with an even number of controlsSIAM Journal on Control and Optimization582020, 12071228
 18 articleDwelltime control sets and applications to the stability analysis of linear switched systemsJournal of Differential Equations2682020, 13451378
 19 articleOptimal Control of EndoAtmospheric Launch Vehicle Systems: Geometric and Computational IssuesIEEE Transactions on Automatic Control6562020, 24182433
 20 article Extensions of Brownian motion to a family of Grushintype singularities Electronic Communications in Probability 25 2020
 21 article Classical and quantum controllability of a rotating 3D symmetric molecule SIAM Journal on Control and Optimization 2021
 22 articleA bioinspired geometric model for sound reconstructionJournal of Mathematical Neuroscience111January 2021, 2
 23 articleUnified Riccati theory for optimal permanent and sampleddata control problems in finite and infinite time horizonsSIAM Journal on Control and Optimization5922021, 489508
 24 articleApproximate and exact controllability of linear difference equationsJournal de l'École polytechnique — Mathématiques72020, 93142
 25 articleOn the gap between deterministic and probabilistic joint spectral radii for discretetime linear systemsLinear Algebra and its Applications613March 2021, 2445
 26 articleModel Predictive Control, Cost Controllability, and Homogeneity *SIAM Journal on Control and Optimization582020, 2979–2996
 27 articleBoundary stabilization in finite time of onedimensional linear hyperbolic balance laws with coefficients depending on time and spaceJournal of Differential Equations2712021, 11091170
 28 articleSmalltime global exact controllability of the NavierStokes equation with Navier slipwithfriction boundary conditionsJournal of the European Mathematical Society225May 2020, 1625–1673
 29 articleFinitetime stabilization in optimal time of homogeneous quasilinear hyperbolic systems in one dimensional spaceESAIM: Control, Optimisation and Calculus of Variations262020, 119

30
articleTwosided spacetime
${L}^{1}$ approximation and optimal control of polynomial systems'Applied Mathematics and Optimization8212020, 307352  31 articleShape turnpike for linear parabolic PDE modelsSystems and Control Letters1422020, 104733
 32 article PI Regulation of a ReactionDiffusion Equation with Delayed Boundary Control IEEE Transactions on Automatic Control 2021
 33 articleNonnegative control of finitedimensional linear systemsAnnales de l'Institut Henri Poincaré (C) Non Linear Analysis382021, 301346
 34 article Image reconstruction through metamorphosis Inverse Problems 36 2020
 35 articleCounterexample to a Lyapunov Condition for Uniform Asymptotic Partial StabilityIEEE Control Systems Letters422020, 397401
 36 articleCharacterization by observability inequalities of controllability and stabilization propertiesPure and Applied Analysis212020, 93122
International peerreviewed conferences
 37 inproceedings Reachable sets for a 3D accidentally symmetric molecule 21st IFAC World Congress Berlin / Virtual, Germany July 2020
 38 inproceedings A bioinspired geometric model for sound reconstruction IFAC World Conference 2020 Proceedings of the 21st IFAC World Congress Berlin / Virtual, Germany July 2020
 39 inproceedings Nullcontrollability, exact controllability, and stabilization of hyperbolic systems for the optimal time CDC 2020  59th Conference on Decision and Control Jeju Island / Virtual, South Korea December 2020
 40 inproceedings An Ecorouting algorithm for HEVs under traffic conditions IFAC 2020  21st IFAC World Congress Proceedings of the 21st IFAC World Congress Berlin / Virtual, Germany July 2020
 41 inproceedings Bounds on timeoptimal concatenations of arcs for twoinput driftless 3D systems 21st IFAC World Congress Berlin / Virtual, Germany July 2020
Scientific books
 42 book A Comprehensive Introduction to subRiemannian Geometry 2020
Scientific book chapters
 43 inbook SubRiemannian Methods in Shape Analysis Handbook of Variational Methods for Nonlinear Geometric Data 2020
Reports & preprints
 44 misc Pace and motor control optimization for a runner May 2020
 45 misc Effective adiabatic control of a decoupled Hamiltonian obtained by rotating wave approximation January 2021
 46 misc On the induced geometry on surfaces in 3D contact subRiemannian manifolds September 2020

47
misc
Feedforward boundary control of
$22$ nonlinear hyperbolic systems with application to SaintVenant equations' December 2020  48 misc InputtoState Stability in sup norms for hyperbolic systems with boundary disturbances April 2020

49
misc
Quantum confinement for the curvature Laplacian
$\frac{1}{2}+cK$ on 2DalmostRiemannian manifolds' November 2020  50 misc Cartan connections for stochastic developments on subRiemannian manifolds December 2020
 51 misc Introduction to the Foundations of Quantum Optimal Control October 2020
 52 misc Robustness under control sampling of reachability in fixed time for nonlinear control systems June 2020
 53 misc A general result on the approximation of local conservation laws by nonlocal conservation laws: The singular limit problem for exponential kernels December 2020
 54 misc Smalltime asymptotics of hypoelliptic heat kernels near the diagonal, nilpotentization and related results 2020
 55 misc On the smalltime local controllability of a KdV system for critical lengths October 2020
 56 misc Lyapunov functions and finite time stabilization in optimal time for homogeneous linear and quasilinear hyperbolic systems July 2020
 57 misc Observability and Controllability for the Schrödinger Equation on Quotients of Groups of Heisenberg Type September 2020

58
misc
The isoperimetric problem for regular and crystalline norms in
${}^{1}$ ' July 2020  59 misc Geometric confinement and dynamical transmission of a quantum particle in Grushin cylinder December 2020
 60 misc Lyapunov characterization of uniform exponential stability for nonlinear infinitedimensional systems February 2020
 61 misc A bilevel energy management strategy for HEVs under probabilistic traffic conditions September 2020
 62 misc Complete Controllability Despite Degeneracy: Quantum Control of EnantiomerSpecific State Transfer in Chiral Molecules October 2020
 63 misc Catching all geodesics of a manifold with moving balls and application to controllability of the wave equation February 2020
 64 misc Exact observability properties of subelliptic wave and Schrödinger equations January 2021
 65 misc Quantum limits of subLaplacians via joint spectral calculus December 2020
 66 misc Subelliptic wave equations are never observable November 2020
 67 misc Observability of BaouendiGrushinType Equations Through Resolvent Estimates October 2020
 68 misc PI regulation control of a 1D semilinear wave equation 2020
 69 misc Constructive exact control of semilinear 1D wave equations by a leastsquares approach November 2020
 70 misc On the compatibility of the adiabatic and rotating wave approximations for robust population transfer in qubits March 2020
 71 misc Linear turnpike theorem October 2020
 72 misc Internal rapid stabilization of a 1D linear transport equation with a scalar feedback September 2020
10.3 Cited publications
 73 inproceedingsControllability of the Schrödinger Equation via Intersection of EigenvaluesProceedings of the 44th IEEE Conference on Decision and Control2005, 10801085
 74 articleCurvature: a variational approachMem. Amer. Math. Soc.25612252018, v+142
 75 articleOn robust Liealgebraic stability conditions for switched linear systemsSystems Control Lett.6122012, 347353URL: https://doi.org/10.1016/j.sysconle.2011.11.016
 76 articleThe intrinsic hypoelliptic Laplacian and its heat kernel on unimodular Lie groupsJ. Funct. Anal.25682009, 26212655URL: https://doi.org/10.1016/j.jfa.2009.01.006
 77 articleGeneralized Ricci curvature bounds for three dimensional contact subriemannian manifoldsMath. Ann.360122014, 209253URL: https://doi.org/10.1007/s0020801410346
 78 bookControl theory from the geometric viewpoint87Encyclopaedia of Mathematical SciencesControl Theory and Optimization, IISpringerVerlag, Berlin2004, xiv+412URL: https://doi.org/10.1007/9783662064047
 79 incollectionSome open problemsGeometric control theory and subRiemannian geometry5Springer INdAM Ser.Springer, Cham2014, 113
 80 articleMetric measure spaces with Riemannian Ricci curvature bounded from belowDuke Math. J.16372014, 14051490URL: https://doi.org/10.1215/001270942681605
 81 bookTopics on analysis in metric spaces25Oxford Lecture Series in Mathematics and its ApplicationsOxford University Press, Oxford2004, viii+133
 82 articleA note on stability conditions for planar switched systemsInternat. J. Control82102009, 18821888URL: https://doi.org/10.1080/00207170902802992
 83 bookD. BarilariU. BoscainM. SigalottiGeometry, analysis and dynamics on subRiemannian manifolds. Vol. 1EMS Series of Lectures in MathematicsLecture notes from the IHP Trimester held at the Institut Henri Poincaré, Paris and from the CIRM Summer School ``SubRiemannian Manifolds: From Geodesics to Hypoelliptic Diffusion'' held in Luminy, Fall 2014European Mathematical Society (EMS), Zürich2016, vi+324URL: https://doi.org/10.4171/163
 84 bookD. BarilariU. BoscainM. SigalottiGeometry, analysis and dynamics on subRiemannian manifolds. Vol. IIEMS Series of Lectures in MathematicsLecture notes from the IHP Trimester held at the Institut Henri Poincaré, Paris and from the CIRM Summer School ``SubRiemannian Manifolds: From Geodesics to Hypoelliptic Diffusion'' held in Luminy, Fall 2014European Mathematical Society (EMS), Zürich2016, viii+299URL: https://doi.org/10.4171/163
 85 articleCurvaturedimension inequalities and Ricci lower bounds for subRiemannian manifolds with transverse symmetriesJ. Eur. Math. Soc. (JEMS)1912017, 151219URL: https://doi.org/10.4171/JEMS/663
 86 articleCurvature dimension inequalities and subelliptic heat kernel gradient bounds on contact manifoldsPotential Anal.4022014, 163193URL: https://doi.org/10.1007/s111180139345x
 87 articleAnalytical parameterization of rotors and proof of a Goldberg conjecture by optimal control theorySIAM J. Control Optim.4762008, 30073036
 88 articleControllability of a quantum particle in a moving potential wellJ. Funct. Anal.23222006, 328389
 89 articleQualitative properties of certain piecewise deterministic Markov processesAnn. Inst. Henri Poincaré Probab. Stat.5132015, 10401075URL: https://doi.org/10.1214/14AIHP619
 90 articleThe inactivation principle: mathematical solutions minimizing the absolute work and biological implications for the planning of arm movementsPLoS Comput. Biol.4102008, e1000194, 25URL: https://doi.org/10.1371/journal.pcbi.1000194
 91 articleFrom image processing to computational neuroscience: a neural model based on histogram equalizationFrontiers in computational neuroscience82014, 71
 92 articleA new class of universal Lyapunov functions for the control of uncertain linear systemsIEEE Trans. Automat. Control4431999, 641647URL: http://dx.doi.org/10.1109/9.751368
 93 articleNonquadratic Lyapunov functions for robust controlAutomatica J. IFAC3131995, 451461URL: http://dx.doi.org/10.1016/00051098(94)001334
 94 bookStratified Lie groups and potential theory for their subLaplaciansSpringer Monographs in MathematicsSpringer, Berlin2007, xxvi+800
 95 articleBeweis des adiabatensatzesZeitschrift für Physik A Hadrons and Nuclei51341928, 165180
 96 articleA weak spectral condition for the controllability of the bilinear Schrödinger equation with application to the control of a rotating planar moleculeComm. Math. Phys.31122012, 423455URL: https://doi.org/10.1007/s002200121441z
 97 articleMultiinput Schrödinger equation: controllability, tracking, and application to the quantum angular momentumJ. Differential Equations256112014, 35243551URL: https://doi.org/10.1016/j.jde.2014.02.004
 98 articleStability of planar nonlinear switched systemsDiscrete Contin. Dyn. Syst.1522006, 415432URL: https://doi.org/10.3934/dcds.2006.15.415
 99 articleHypoelliptic diffusion and human vision: a semidiscrete new twistSIAM J. Imaging Sci.722014, 669695
 100 articleAdiabatic control of the Schroedinger equation via conical intersections of the eigenvaluesIEEE Trans. Automat. Control5782012, 19701983
 101 articleAnthropomorphic image reconstruction via hypoelliptic diffusionSIAM J. Control Optim.5032012, 13091336
 102 articleStability of planar switched systems: the linear single input caseSIAM J. Control Optim.4112002, 89112
 103 articleMultiple Lyapunov functions and other analysis tools for switched and hybrid systemsIEEE Trans. Automat. Control434Hybrid control systems1998, 475482URL: https://doi.org/10.1109/9.664150
 104 articleSystem theory on group manifolds and coset spacesSIAM J. Control101972, 265284
 105 bookGeometric control of mechanical systems49Texts in Applied MathematicsModeling, analysis, and design for simple mechanical control systemsSpringerVerlag, New York2005, xxiv+726
 106 articleUntersuchungen über die Grundlagen der ThermodynamikMath. Ann.6731909, 355386URL: https://doi.org/10.1007/BF01450409
 107 inproceedingsSur la represéntation géométrique des systèmes matériels non holonomesProceedings of the International Congress of Mathematicians. Volume 4.1928, 253261
 108 articleControllability of the discretespectrum Schrödinger equation driven by an external fieldAnn. Inst. H. Poincaré Anal. Non Linéaire2612009, 329349URL: https://doi.org/10.1016/j.anihpc.2008.05.001
 109 articleA cortical based model of perceptual completion in the rototranslation spaceJ. Math. Imaging Vision2432006, 307326URL: http://dx.doi.org/10.1007/s1085100536302
 110 article Decay rates for stabilization of linear continuoustime systems with random switching Math. Control Relat. Fields 2019
 111 bookControl and nonlinearity136Mathematical Surveys and MonographsAmerican Mathematical Society, Providence, RI2007, xiv+426
 112 articleGlobal asymptotic stabilization for controllable systems without driftMath. Control Signals Systems531992, 295312URL: https://doi.org/10.1007/BF01211563
 113 inproceedingsOn the controllability of nonlinear partial differential equationsProceedings of the International Congress of Mathematicians. Volume IHindustan Book Agency, New Delhi2010, 238264
 114 bookIntroduction to quantum control and dynamicsChapman & Hall/CRC Applied Mathematics and Nonlinear Science SeriesChapman & Hall/CRC, Boca Raton, FL2008, xiv+343
 115 articleA converse Lyapunov theorem for a class of dynamical systems which undergo switchingIEEE Trans. Automat. Control4441999, 751760URL: http://dx.doi.org/10.1109/9.754812
 116 articleLeftinvariant diffusions on the space of positions and orientations and their application to crossingpreserving smoothing of HARDI imagesInt. J. Comput. Vis.9232011, 231264URL: https://doi.org/10.1007/s112630100332z
 117 articleFlatness and defect of nonlinear systems: introductory theory and examplesInternat. J. Control6161995, 13271361URL: https://doi.org/10.1080/00207179508921959
 118 articleA threescale model of spatiotemporal burstingSIAM J. Appl. Dyn. Syst.1542016, 21432175
 119 articleTraining Schrödinger's cat: quantum optimal control. Strategic report on current status, visions and goals for research in EuropeEuropean Physical Journal D692015, 279
 120 articleNonminimality of corners in subriemannian geometryInvent. Math.2016, 112
 121 articleMinimal surfaces in the rototranslation group with applications to a neurobiological image completion modelJ. Math. Imaging Vision3612010, 127URL: https://doi.org/10.1007/s1085100901679
 122 book Brain and Visual Perception: The Story of a 25Year Collaboration Oxford Oxford University Press 2004
 123 bookGeometric control theory52Cambridge Studies in Advanced MathematicsCambridge University Press, Cambridge1997, xviii+492
 124 articleControl systems on Lie groupsJ. Differential Equations121972, 313329URL: https://doi.org/10.1016/00220396(72)900356
 125 articleControlling Several Atoms in a CavityNew J. Phys.162014, 065010
 126 articleSwitch observability for switched linear systemsAutomatica J. IFAC872018, 121127URL: https://doi.org/10.1016/j.automatica.2017.09.024
 127 articleExtremal Curves in Nilpotent Lie GroupsGeom. Funct. Anal.234jul 2013, 13711401URL: http://arxiv.org/abs/1207.3985
 128 article Adiabatic passage and ensemble control of quantum systems Journal of Physics B 44 15 2011
 129 articleJacobi equations and comparison theorems for corank 1 subRiemannian structures with symmetriesJ. Geom. Phys.6142011, 781807URL: https://doi.org/10.1016/j.geomphys.2010.12.009
 130 bookCalculus of variations and optimal control theoryA concise introductionPrinceton University Press, Princeton, NJ2012, xviii+235
 131 articleStability of switched systems: a Liealgebraic conditionSystems Control Lett.3731999, 117122URL: https://doi.org/10.1016/S01676911(99)000122
 132 bookSwitching in systems and controlSystems & Control: Foundations & ApplicationsBirkhäuser Boston, Inc., Boston, MA2003, xiv+233URL: https://doi.org/10.1007/9781461200178
 133 articleStability and stabilizability of switched linear systems: a survey of recent resultsIEEE Trans. Automat. Control5422009, 308322URL: http://dx.doi.org/10.1109/TAC.2008.2012009
 134 articleAveraging theorems for highly oscillatory differential equations and iterated Lie bracketsSIAM J. Control Optim.3561997, 19892020
 135 articleRicci curvature for metricmeasure spaces via optimal transportAnn. of Math. (2)16932009, 903991URL: https://doi.org/10.4007/annals.2009.169.903
 136 articleCommon polynomial Lyapunov functions for linear switched systemsSIAM J. Control Optim.4512006, 226245 (electronic)
 137 articleGeneric controllability properties for the bilinear Schrödinger equationComm. Partial Differential Equations3542010, 685706URL: https://doi.org/10.1080/03605300903540919
 138 articleStability of distributed congestion control with heterogeneous feedback delaysIEEE Trans. Automat. Control476Special issue on systems and control methods for communication networks2002, 895902URL: https://doi.org/10.1109/TAC.2002.1008356
 139 articleGeodesic shooting for computational anatomyJ. Math. Imaging Vision2422006, 209228URL: https://doi.org/10.1007/s1085100536240
 140 articleLyapunov control of a quantum particle in a decaying potentialAnn. Inst. H. Poincaré Anal. Non Linéaire2652009, 17431765URL: https://doi.org/10.1016/j.anihpc.2008.09.006
 141 articleLyapunov functions that specify necessary and sufficient conditions for absolute stability of nonlinear nonstationary control systems, I, II, IIIAutomat. Remote Control471986, 344354, 443451, 620630
 142 bookA tour of subriemannian geometries, their geodesics and applications91Mathematical Surveys and MonographsAmerican Mathematical Society, Providence, RI2002, xx+259
 143 incollectionThe regularity problem for subRiemannian geodesicsGeometric control theory and subRiemannian geometry5Springer INdAM Ser.Springer, Cham2014, 313332URL: https://doi.org/10.1007/9783319021324_18
 144 articleNonholonomic motion planning: steering using sinusoidsIEEE Trans. Automat. Control3851993, 700716URL: https://doi.org/10.1109/9.277235
 145 articleOn the adiabatic theorem of quantum mechanicsJ. Phys. A1321980, L15L18URL: http://stacks.iop.org/03054470/13/L15
 146 articleGrowth of Sobolev norms and controllability of the Schrödinger equationComm. Math. Phys.29012009, 371387
 147 articleAlternative control methods for DCDC converters: an application to a fourlevel threecell DCDC converterInternat. J. Robust Nonlinear Control21102011, 11121133URL: https://doi.org/10.1002/rnc.1651
 148 book Neurogéomètrie de la vision. Modèles mathématiques et physiques des architectures fonctionnelles Les Éditions de l'École Polythechnique 2008
 149 articleMomentbased methods for parameter inference and experiment design for stochastic biochemical reaction networksACM Trans. Model. Comput. Simul.2522015, Art. 8, 25URL: https://doi.org/10.1145/2688906
 150 articleThe symplectic structure of the primary visual cortexBiol. Cybernet.9812008, 3348URL: http://dx.doi.org/10.1007/s0042200701949
 151 bookGeometric optimal control38Interdisciplinary Applied MathematicsTheory, methods and examplesSpringer, New York2012, xx+640URL: https://doi.org/10.1007/9781461438342
 152 bookOptimal control for mathematical models of cancer therapies42Interdisciplinary Applied MathematicsAn application of geometric methodsSpringer, New York2015, xix+496URL: https://doi.org/10.1007/9781493929726
 153 articleStability criteria for switched and hybrid systemsSIAM Rev.4942007, 545592
 154 articleA design methodology for switched discrete time linear systems with applications to automotive roll dynamics controlAutomatica J. IFAC4492008, 23582363URL: https://doi.org/10.1016/j.automatica.2008.01.014
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