Event-triggered adaptive fuzzy output feedback control of MIMO switched nonlinear systems with average dwell time.

This paper investigates the problem of event-triggered adaptive fuzzy output feedback control for a class of multi-input and multi-output (MIMO) switched nonlinear systems. The system under study contains unknown nonlinear functions and unmeasured states, which make it difficult or even impossible to check the assumption of input-to-state stable (ISS) with respect to the measurement errors. Based on the Lyapunov stability theory and the backstepping design technique, actual controllers for every subsystem and the corresponding triggering mechanism are designed at the same time, which removes the ISS assumption demanded in most literature. The proposed control scheme can guarantee that all the signals in the closed-loop system are bounded under a class of switching signals with average dwell time and the tracking errors can converge to a small residual near the origin. Simulation examples are also given to illustrate the validity of the proposed scheme.