A predetermined finite time impulsive unknown input observer for nonlinear systems via Takagi-Sugeno models

Autor: Yacine, Zedjiga, Hamiche, Hamid, Mammar, Saïd
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