Dynamic Event-Triggered Mechanism for Networked Nonlinear Systems via Output-Feedback Control

This paper explores a novel class of event-triggered mechanisms for nonlinear systems utilizing output-feedback control. Initially, an output-feedback state observer is designed to estimate the unmeasurable states. Subsequently, leveraging the observed states, two distinct event-triggered mechanisms are introduced: a static event-triggering mechanism and a dynamic event-triggering mechanism, the latter incorporating a dynamic variable. By integrating the event-triggered mechanisms with an output-feedback controller, the global stability of the closed-loop nonlinear system is rigorously established, and Zeno behavior is effectively precluded. Finally, simulation results for a manipulator system demonstrate the efficacy of the proposed eventtriggered mechanisms.