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Erschienen in:
2007 | OriginalPaper | Buchkapitel
Guaranteed Cost Robust Filter for Time Delayed T-S Fuzzy Systems with Uncertain Nonlinearities
verfasst von : Fan Zhou, Li Xie, Yaowu Chen
Erschienen in: Bio-Inspired Computational Intelligence and Applications
Verlag: Springer Berlin Heidelberg
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The problem of guaranteed cost robust fuzzy filtering design for a class of time delayed systems with uncertain nonlinearities have been investigated. The nonlinear uncertain time delayed system is represented by state-space Takagi-Sugeno fuzzy model. In terms of linear matrix inequalities (LMIs), the stability of the filter error systems are analyzed by basis-dependent Lyapunov function approach. Then the sufficient conditions for the existence of the fuzzy filter are given in the form of convex optimization. The optimal upper bound of the guaranteed cost value of the filtering error systems can be solved when the LMIs are feasible.