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

Autor:	Arezki, Hasni, Bouhadjra, Dyhia, Chaib Draa, Khadidja, Zemouche, Ali, N'Doye, Ibrahima, Laleg-Kirati, Taous-Meriem
Přispěvatelé:	Université Mouloud Mameri de Tizi-Ouzou, Centre de Recherche en Automatique de Nancy (CRAN), Centre National de la Recherche Scientifique (CNRS)-Université de Lorraine (UL), TechnOptiz, King Abdullah University of Science and Technology (KAUST)
Rok vydání:	2021
Předmět:	LMIs Observers for nonlinear systems Computer Science::Systems and Control MathematicsofComputing_NUMERICALANALYSIS Mathematics::Optimization and Control Nonlinear systems [SPI.AUTO]Engineering Sciences [physics]/Automatic
Zdroj:	60th IEEE Conference on Decision and Control, CDC 2021 60th IEEE Conference on Decision and Control, CDC 2021, Dec 2021, Austin, United States
DOI:	10.1109/cdc45484.2021.9683758
Popis:	International audience; 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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e0e01d3b1943ebe9d3dd7689d167c3e4 https://doi.org/10.1109/cdc45484.2021.9683758 Zobrazit plný text záznamu