Delay-Dependent Guaranteed Cost Control for Uncertain Stochastic Fuzzy Systems With Multiple Time Delays

This paper studies the guaranteed cost control problem for a class of uncertain stochastic nonlinear systems with multiple time delays represented by the Takagi-Sugeno fuzzy model with uncertain parameters. By constructing a new stochastic Lyapunov-Krasovskii functional, sufficient conditions for de...

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Published inIEEE transactions on systems, man and cybernetics. Part B, Cybernetics Vol. 38; no. 1; pp. 126 - 140
Main Authors Zhang, Huaguang, Wang, Yingchun, Liu, Derong
Format Journal Article
LanguageEnglish
Published United States IEEE 01.02.2008
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Summary:This paper studies the guaranteed cost control problem for a class of uncertain stochastic nonlinear systems with multiple time delays represented by the Takagi-Sugeno fuzzy model with uncertain parameters. By constructing a new stochastic Lyapunov-Krasovskii functional, sufficient conditions for delay-dependent guaranteed cost control are obtained which do not require system transformation or relaxation matrices. Conditions for the existence of an optimal guaranteed cost controller are presented in the linear matrix inequality format. Simulation examples are provided to demonstrate the effectiveness of the proposed approach in this paper.
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ISSN:1083-4419
1941-0492
DOI:10.1109/TSMCB.2007.910532