Adaptive Event-Triggered Finite-Time Control for Switched Nonlinear Systems

This article addresses an adaptive event-triggered finite-time control strategy based on state-unpredictable switched nonlinear systems with known time-varying control gains studied under the arbitrary switching rule. A fuzzy observer is designed by utilizing the fuzzy-logic system. To save communication resources, design an event-triggered controller to guarantee that the system achieved stability in finite time. Meanwhile, the event-triggered mechanism designed successfully excludes Zeno behavior. In addition, the finite-time command filtering technique is proposed to successfully avoid the computational explosion arising from repeated virtual controller differentiation. The stability of the controlled system is proved by using the common Lyapunov function approach. Finally, a simulation example further confirms the feasibility of the proposed control scheme, and the results revealed that all signals in closed-loop system are bounded in finite time and that the output tracks the desired signal extremely well.