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
收藏
页码：43 / 48
页数：6
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