Robust fault tolerant control for T-S fuzzy system with unmeasurable premise variables: LMI approach

被引：0
|
作者：
Brahim, Imen Haj [1 ]
Bouattour, Maha [1 ]
Mehdi, Driss [2 ]
Chaabane, Mohamed [1 ]
机构：
[1] Univ Sfax, Lab Sci & Tech Automat Control & Comp Engn LabSTA, Natl Sch Engn Sfax, Postal Box 1173, Sfax 3038, Tunisia
[2] Univ Poitiers, LIAS ENSIP, F-86022 Poitiers, France
来源：
2015 IEEE 12TH INTERNATIONAL MULTI-CONFERENCE ON SYSTEMS, SIGNALS & DEVICES (SSD) | 2015年
关键词：
Takagi-Sugeno (T-S) fuzzy models; Sensor faults; descriptor approach; fault tolerant control; linear matrix inequality (LMI); TAKAGI-SUGENO MODELS; DESIGN; OBSERVER;
D O I：
暂无
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper addresses the problem of robust fault tolerant control (FTC) for Takagi-Sugeno (T-S) fuzzy nonlinear systems with unmeasurable premise variables. A fuzzy-augmented descriptor observer design is proposed to achieve a simultaneous estimation of the system states and of the occurring sensor faults. Sufficient conditions for the existence of the controller based observer are established with Lyapunov theory and H-infinity performance and given in terms of linear matrix inequalities (LMI). Numerical simulation example is given to illustrate the effectiveness of the proposed FTC scheme.
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页数：6
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