Sampled-Data H∞ Control for Nonlinear Dynamical Intelligent Fuzzy Systems with Time-Varying Delay

The manuscript explores the issue of the sampled-data H
∞
control for the nonlinear intelligent fuzzy system which has time-varying delay. A T-S fuzzy model is employed to portray the system and the fuzzy controller is a sampled-data signal implemented by a zero-order holder. According to the stability theory of Lyapunov-Krasovskii functional, a fuzzy sampled-data H
∞
control algorithm is gained. Moreover, by adopting linear matrix inequalities (LMIs), some sufficient conditions for the controller are acquired, which ensure the H
∞
performance under a prescribed level. Furthermore, an application example of a mechanical system displays the proposed design.