Sampled data Control for Takagi-Sugeno Fuzzy Systems with Actuator Saturation

Abstract

This paper deals with the problem of sampled data control for a class of Takagi-Sugeno fuzzy systems with actuator saturation. On the basis of the Lyapunov-Krasovskii functional (LKF) and Wirtinger-based double integral inequality, a set of sufficient conditions are derived in terms of linear matrix inequalities (LMIs) which can be easily solved by using some standard numerical packages, then, a state feedback controller is constructed for guaranteing the stability of the considered system. Eventually, the effectiveness of the proposed method have been validated through numerical simulations.