Local Sampled-data Controller Design for T-S Fuzzy Systems with Saturated Actuators

This paper deals with the local stabilization of continuous-time Takagi-Sugeno (T-S) systems under saturated actuators and driven by sampled-data controllers. The generalized sector condition is used to cope with the saturated signals and the sampled-data closed-loop dynamics is rewritten as a T-S system with saturated input with time-varying delays. Then, by selecting a convenient Lyapunov-Krasovskii Functional and the application of some useful overbounding techniques, new LMI-based conditions are proposed for the design of saturated sampled-data Parallel-Distributed-Compensation controllers, together with the estimation of the closed-loop domain of attraction. A simulation example illustrates the effectiveness of this proposal and shows the achieved conservatism improvement regarding to previous related studies.