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

Abstract
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.

Citation
Arezki, Bouhadjra, D., Chaib-Draa, K., Zemouche, A., N’Doye, I., & Laleg-Kirati, T. M. (2021). LMI Feasibility Improvement to Design Observers for a Class of Lipschitz Nonlinear Systems. 2021 60th IEEE Conference on Decision and Control (CDC). https://doi.org/10.1109/cdc45484.2021.9683758

Publisher
IEEE

Conference/Event Name
2021 60th IEEE Conference on Decision and Control (CDC)

DOI
10.1109/CDC45484.2021.9683758

Additional Links
https://ieeexplore.ieee.org/document/9683758/https://ieeexplore.ieee.org/document/9683758/https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9683758

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