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LMI Feasibility Improvement to Design Observers for a Class of Lipschitz Nonlinear Systems
Conference proceeding

LMI Feasibility Improvement to Design Observers for a Class of Lipschitz Nonlinear Systems

H. Arezki, D. Bouhadjra, K. Chaib-Draa, A. Zemouche, I. N'Doye, T. M. Laleg-Kirati, IEEE and A. N'doye
2021 60th IEEE Conference on Decision and Control (CDC), Vol.2021-, pp.6151-6155
14/12/2021
DOI: https://doi.org/10.1109/CDC45484.2021.9683758

Abstract

Conferences Convergence Estimation error Linear matrix inequalities Lipschitz systems LMIs Matrix decomposition Nonlinear systems Observers Observers design
This paper deals with the observer design for a class of nonlinear Lipschitz systems via Linear Matrix Inequalities (LMIs) based approach. Using some mathematical matrix decompositions, general LMI conditions ensuring the exponential convergence of the estimation error are provided. Thanks to linear and/or nonlinear transformations, these LMIs are enhanced from feasibility viewpoint.

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