DocumentCode :
3123520
Title :
Adaptive fault estimation design for T-S fuzzy systems with interval time varying delay
Author :
Gassara, Hamdi ; El Hajjaji, A. ; Chaabane, Mohamed
Author_Institution :
Inf. & Syst. Lab., Univ. of Picardie Jules Verne, Amiens, France
fYear :
2011
fDate :
27-30 June 2011
Firstpage :
334
Lastpage :
339
Abstract :
This paper is concerned with fault estimation design for continuous-time Takagi-Sugeno (T-S) fuzzy systems with time delay by using adaptive fault diagnostic observer. Through constructing an appropriate type of Lyapunov function, criteria is established to reduce the conservatism of the design procedure. Based on appropriate type of Lyapunov function, new sufficient delay-dependent conditions are given to guarantee the stability of error dynamics in terms of Linear Matrix Inequalities (LMI). Finally, the effectiveness of the proposed approach is illustrated through a simulation example.
Keywords :
Lyapunov methods; adaptive control; control system synthesis; delays; fault diagnosis; fuzzy control; linear matrix inequalities; observers; stability; time-varying systems; Lyapunov function; T-S fuzzy systems; adaptive fault diagnostic observer; adaptive fault estimation design; continuous-time Takagi-Sugeno fuzzy systems; delay-dependent conditions; error dynamics; interval time varying delay; linear matrix inequalities; stability; Delay; Delay effects; Estimation; Fuzzy systems; Linear matrix inequalities; Symmetric matrices; Time varying systems; Linear Matrix Inequalities; Takagi-Sugeno fuzzy systems; fault tolerant control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Systems (FUZZ), 2011 IEEE International Conference on
Conference_Location :
Taipei
ISSN :
1098-7584
Print_ISBN :
978-1-4244-7315-1
Electronic_ISBN :
1098-7584
Type :
conf
DOI :
10.1109/FUZZY.2011.6007656
Filename :
6007656
Link To Document :
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