Asynchronous membership functions decoupling based event-triggered fuzzy networked control for nonlinear systems

Abstract

This paper focuses on the $H_{\infty }$ robust control for a kind of nonlinear networked control systems depicted by T-S fuzzy form model. An event-triggered communication scheme is adopted to improve the utilization of network resources. A new fuzzy system model is derived by designing an asynchronous membership functions decoupling method, such that more information about the membership functions is involved in the process of stability and robustness analysis. Based on Lyapunov Krasovskii Functional (LKF) method, a series of convex stability and robustness conditions can be given. Finally, two benchmark examples are introduced to prove the effectiveness of the designed method.