A predetermined finite time impulsive unknown input observer for nonlinear systems via Takagi-Sugeno models
Autor: | Yacine, Zedjiga, Hamiche, Hamid, Mammar, Saïd |
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Přispěvatelé: | Automatic-UMMTO, Université Mouloud Mammeri [Tizi Ouzou] (UMMTO), Electronic-UMMTO, Informatique, BioInformatique, Systèmes Complexes (IBISC), Université d'Évry-Val-d'Essonne (UEVE)-Université Paris-Saclay |
Rok vydání: | 2021 |
Předmět: | |
Zdroj: | 5th International Conference on Control, Automation and Diagnosis (ICCAD 2021) 5th International Conference on Control, Automation and Diagnosis (ICCAD 2021), Nov 2021, Grenoble, France. pp.1-6, ⟨10.1109/ICCAD52417.2021.9638765⟩ |
DOI: | 10.1109/iccad52417.2021.9638765 |
Popis: | International audience; In this paper, the design of an impulsive observer that estimates the state and the unknown inputs in a predetermined finite time is proposed for nonlinear systems represented by Takagi Sugeno models. The stability conditions are formulated under LMI formalism. An pplication on a chaotic system is performed to show the effectiveness of the proposed observer. |
Databáze: | OpenAIRE |
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