Event-Triggered Adaptive Fuzzy Finite-Time Tracking Control of Switched Nonlinear Systems

In this paper, a finite-time adaptive fuzzy tracking control scheme of uncertain switched nonlinear systems with event-triggered inputs is constructed, where the system uncertainties are handled by utilizing the universal approximation capability of fuzzy logic systems. Associating the common Lyapunov function approach with the backstepping recursive design technique, adaptive event-triggered controllers are constructed by employing the relative threshold control strategy. It is shown that the tracking performance is gained in a finite time, and all the signals of the resulting system are bounded in the sense of semi-globally practical finite-time stability. The utility of the constructed control approach is testified by a practical example accompanied by the mass-spring-damper system.