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Communication dans un congrès
Robust adaptive observer design for fast fault estimation for nonlinear T-S fuzzy systems using descriptor approach
Abstract : In this work, we study the detection and estimation problem of sensor and actuator faults (SAF) for nonlinear systems represented by Takagi-Sugeno (T-S) fuzzy models subject to an Unknown Bounded Disturbance (UBD). Simultaneously, we study the estimation of the states. To do this, we design an adaptive descriptor observer to jointly estimate state and SAF vectors. This observer not only lead to estimate the actuator fault, but also to improve the performance of fault estimation. To prove the existence of this observer, two sufficient conditions are deduced in form of Linear Matrix Inequalities (LMIs) using Lyapunov theory. A robustness to disturbance is elaborated by considering the H performan. Finally, a numerical example and simulation results are afforded to prove the mentioned process efficiency.
https://hal-u-picardie.archives-ouvertes.fr/hal-03634612
Contributeur : Louise Dessaivre Connectez-vous pour contacter le contributeur
Soumis le : jeudi 7 avril 2022 - 18:07:11
Dernière modification le : samedi 23 avril 2022 - 15:51:42
Contributeur : Louise Dessaivre Connectez-vous pour contacter le contributeur
Soumis le : jeudi 7 avril 2022 - 18:07:11
Dernière modification le : samedi 23 avril 2022 - 15:51:42