DocumentCode :
3282134
Title :
Fuzzy observer design for nonlinear stochastic time-delay systems via sliding mode control
Author :
Liying, Zhao ; Fei, Jia ; Qingsong, Gong ; Xiangkui, Zhao
Author_Institution :
Sch. of Appl. Sci., Univ. of Sci. & Technol. Beijing, Beijing, China
fYear :
2011
fDate :
15-17 April 2011
Firstpage :
431
Lastpage :
434
Abstract :
This paper addresses the problem of observer-based sliding mode control for nonlinear stochastic time-delay systems represented by Takagi-Sugeno(T-S) fuzzy model. A delay-dependent sufficient condition for the asymptotic stability (in probability) of the overall closed-loop fuzzy stochastic system is derived. Moreover, it is shown that when the linear matrix inequalities (LMIs) are feasible, the sliding mode in the estimation space can be attained in finite time. Finally, a simulation example is shown to illustrate the proposed method.
Keywords :
asymptotic stability; closed loop systems; control system synthesis; delays; fuzzy control; linear matrix inequalities; nonlinear control systems; observers; stochastic systems; variable structure systems; LMI; Takagi-Sugeno fuzzy model; asymptotic stability; closed-loop system; delay-dependent sufficient condition; estimation space; fuzzy observer design; linear matrix inequalities; nonlinear stochastic time-delay systems; sliding mode control; Delay; Fuzzy systems; Observers; Robustness; Sliding mode control; Stochastic processes; Switches; Takagi-Sugeno(T-S); delay-dependent; sliding-mode control; stochastic system;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electric Information and Control Engineering (ICEICE), 2011 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-8036-4
Type :
conf
DOI :
10.1109/ICEICE.2011.5777702
Filename :
5777702
Link To Document :
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