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
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