Delay-dependent L2-L∞ filtering for fuzzy neutral stochastic time-delay systems

The delay-dependent L2-L∞ filter design for a class of Takagi-Sugeno fuzzy neutral stochastic time-delay systems is considered in this paper. Based on the Lyapunov-Krasovskii functional, this paper presents a novel approach to design a fuzzy filter such that the filtering error systems are exponentially stable in the mean-square with a prescribed L2-L∞ performance index. Delay-dependent sufficient conditions for the existence of L2-L∞ filters are obtained in terms of linear matrix inequalities (LMIs). Three examples are finally given to demonstrate the effectiveness and advantages of the proposed approach.