Non-fragile Robust L2–L∞ Filtering for Uncertain Neutral Fuzzy Stochastic Time-Delay Systems

نویسنده

  • Xinhao Yang
چکیده

This paper investigates the problem of non-fragile L2–L∞ filter design for a kind of Takagi-Sugeno (T-S) fuzzy stochastic system with neutral delay and parameter uncertainties. The addressed problem is the design of a non-fragile fuzzy filter such that the error system is robustly stochastic stable and the filtering error system can tolerant some level of the gain variations in the filter. Based on the Lyapunov-Krasovskii functional we chose, the delay-dependent conditions are obtained. The resulting filters can ensure that the error system is both stochastically stable and the peak value of the estimation error is bounded by a prescribed level for all possible bounded energy disturbances. Finally, an illustrative example is given to substantiate the effectiveness of the proposed method. Copyright © 2014 IFSA Publishing, S. L.

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تاریخ انتشار 2014