Event-triggered fuzzy control for nonlinear networked control systems

This paper investigates the problem of event-triggered (ET) dynamic output feedback controller (DOFC) design for nonlinear networked control systems (NCSs) in the framework of interval type-2 (IT2) fuzzy systems. The parameter uncertainties in the nonlinear plant can be captured effectively by utilizing the membership functions with upper and lower bounds. To reduce the utilization of limited network bandwidth, an ET communication mechanism is applied. A novel type of DOFC subject to parameter uncertainties, ET communication mechanism and transmission delay is proposed, where the membership functions are different from those of the fuzzy models. Consequently, the closed-loop system is with mismatched membership functions, which hampers the stability analysis and controller design. To promote the stability analysis and achieve a better control performance, the information of membership functions and slack matrices are utilized for obtaining the main results. Finally, a simulation example is employed to demonstrate the effectiveness of the proposed mechanism.