Memory dissipative control for singular T-S fuzzy time-varying delay systems under actuator saturation

Abstract This paper considers the problem of memory dissipative control for singular T–S fuzzy time-varying delay systems under actuator saturation. A delay-central-point (DCP) method is presented to develop less conservative delay-dependent conditions. And the memory state feedback controller design problem can be solved by the linear matrices inequalities (LMIs) such that the closed-loop system is not only admissible, but also strictly ( Q , V , R ) - α-dissipative. Then, the estimation of the largest domain of attraction for the system is formulated and solved as a LMI optimization problem. Finally some simulations are provided to demonstrate the effectiveness and superiority of the proposed method.

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