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

被引：0

作者：

Makni, Salama ^{[1
]}

El Hajjaji, Ahmed ^{[1
]}

Chaabane, Mohamed ^{[2
]}

机构：

[1] Univ Picardie Jules Vernes, Informat & Syst MIS Lab, F-80000 Amiens, France

[2] Univ Sfax, Sci & Technol Automat STA Lab, Sfax 3038, Tunisia

来源：

2023 31ST MEDITERRANEAN CONFERENCE ON CONTROL AND AUTOMATION, MED | 2023年

关键词：

ASF; T-S fuzzy models; RAO; H-infinity performances; LMIs; fuzzy functional; free weighting matrices and relaxed results; OBSERVER-BASED FAULT;

D O I：

10.1109/MED59994.2023.10185670

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页码：43 / 48

页数：6

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