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Communication Dans Un Congrès Année : 2023

Relaxed fault estimation conditions for fuzzy systems subject to time varying actuator and sensor faults

Résumé

This paper investigates the problem of state and actuator/sensor fault (ASF) estimation for nonlinear systems described by Takagi-Sugeno (T-S) fuzzy models subject to external disturbances. A robust adaptive observer (RAO) is designed to estimate the system state, sensor faults and actuator faults conjointly. For the convergence analysis of all estimation errors, a fuzzy Lyapunov functional candidate combined by free weighting matrices have been constructed to obtain more relaxed results. The design conditions, taking into account the H-infinity performance, are formulated in terms of Linear Matrix Inequalities (LMIs). Finally, a comparative study is presented to prove the superiority of the proposed method.
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Dates et versions

hal-04202719 , version 1 (11-09-2023)

Identifiants

Citer

Salama Makni, Ahmed El Hajjaji, Mohamed Chaabane. Relaxed fault estimation conditions for fuzzy systems subject to time varying actuator and sensor faults. 2023 31st Mediterranean Conference on Control and Automation (MED), Jun 2023, Limassol, Cyprus. pp.43-48, ⟨10.1109/MED59994.2023.10185670⟩. ⟨hal-04202719⟩
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