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Section: Partnerships and Cooperations
National Initiatives
RNSC project “MnMs”
The MnMs (http://www-sop.inria.fr/members/Fabien.Campillo/projects/mnms ) (Numerical Models for Microbial ecosystems) project has been funded by the RNSC (National Network on Complex Systems) in 2013 for two years.
It aims at studying how to articulate existing models (discrete, continuous, deterministic, stochastic...) in a multi-scale framework with interactions between various scales. The team has been the coordinator and the other partners were Irstea LISC (Clermont-Ferrand) and CNRS/UMPC LPMTC (Paris VI).
Inria Project Lab “Algae in Silico”
MODEMIC is a partner of the proposal of the Inria Project Lab Algae in Silico launched last year by BIOCORE Inria project-team.
INRA-CEPIA project “New perspectives for the MSCF”
The project entitled Multi-Stage Continuous Fermentor (MSCF): Study of fermentation with disturbances, and development of a control law has been funded in 2013 by the INRA Dept. CEPIA for two years, in which the Montpellier Units SPO and Mistea are involved.
It is the continuation of the work initiated within the former European CAFE project about the control of a wine fermentation process. The goal of this project is to study the fermentation with nitrogen addition. From a control point of view, we study how to regulate both the sugar concentration and the production rate in a series of four tanks of a MSCF, that mimics in continuous culture four important physiological states of a batch fermentation.
PGMO “OPTIBIO”
OPTIBIO (New challenges in the optimal control of bioprocesses) is a new project funded by the french Fundation FMJH (Fondation Mathématique Jacques Hadamard) in 2014 for three years, within the program PGMO (Gaspard Monge Program for Optimization and operations research).
The project is coordinated by T. Bayen (ACSIOM, Univ. Montpellier II) and the other partners are: MODEMIC, Univ. Limoges, EPI COMMANDS (Saclay) and EPI BIOCORE (Sophia Antipolis).
The overall objective of this project is to address the optimization of bioprocesses over an infinite horizon. Infinite horizon optimal control is well suited for every problem where the time horizon is uncertain and can be expected to be large: e.g. economics models related to optimal growth and sustainable development, biological models such as the optimal control of interacting species and pest control, stabilization of controlled mechanical systems...The recent expectations of sustainable development raise new optimization problems that take into account auxiliary outputs, such as biogas production, that were neglected in the past. It appears that mathematical problems that come from the modelization of these processes are often difficult to solve, and one objective of the proposal is to develop new mathematical methods in order to address these issues. More precisely, the objective of the project is to study the following issues:
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Development of accurate methods in order to deal with uncertainties that affects the chemostat model (uncertainties come from unknown parameters or noise from the measurements).
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Stabilization of the chemostat model including delay in the system.
INRA-MIA methodological networks
The team is involved in two new networks of the MIA (Applied Mathematics and Informatics) Department of INRA:
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MEDIA (http://www.netvibes.com/reseaumiamedia ) (Modèles d'Équations DIfférentielles et Autres systèmes dynamiques pour l'écologie),
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REM (https://sites.google.com/site/reseaurem2/ ) (RÉduction de Modèles),
that have been launched this year.