Section: New Results
Estimation for vehicle application
Participants : Ali Zemouche, Rajesh Rajamani [University of Minneapolis, USA] , Gridsada Phanomchoeng [Chulalongkorn University, Thailand] .
A new LMI (Linear Matrix Inequality) design technique is developed to address the problem of circle criterion based observer design for nonlinear systems. The developed technique applies to both locally Lipschitz as well as monotonic nonlinear systems, and allows for nonlinear functions in both the process dynamics and output equations. The LMI design condition obtained is less conservative than all previous results proposed in literature for these classes of nonlinear systems. By judicious use of a modified Young's relation, additional degrees of freedom are included in the observer design. These additional decision variables enable improvements in the feasibility of the obtained LMI. Several recent results in literature are shown to be particular cases of the more general observer design methodology developed in this paper. Illustrative examples are used to show the effectiveness of the proposed methodology. The application of the method to slip angle estimation in automotive applications is discussed and experimental results are presented. This application was the main motivation of this work.