Dynamic output feedback control for nonlinear networked control systems with a two-terminal event-triggered mechanism

This paper is mainly concerned with the stabilization problem for nonlinear networked control systems (NCSs) with a two-terminal event-triggered mechanism. Firstly, Takagi–Sugeno (T–S) fuzzy models are introduced as the presentation of the nonlinear object. A two-terminal event-triggered mechanism, which adopts the relative event-triggered conditions as the communication mode of data transmission, is distributed in the controller-to-actuator link besides sensor-to-controller link in order to reduce congestion on network servers. By taking different membership function information from the T–S fuzzy model into account, the dynamic output feedback controller is designed under imperfect premise matching to construct closed-loop model. Secondly, to ensure the asymptotic stability of NCSs, valuable theorems are derived by defining Lyapunov functions which involve time-delay information. Thirdly, using boundary information of membership functions, LMI-based membership-function-dependent stability conditions are developed to reduce the conservativeness of the imperfect premise matching, from which the explicit form of controller gain matrices is obtained. Finally, one practical example illustrates the reliability of derived results.