Output-Feedback Adaptive Control of a Class of Uncertain Nonlinear Systems With Dynamic Event-Triggered Strategy

This brief aims at the global output feedback regulation of nonlinear systems subject to uncertain parameter and event-triggered signals. To handle the uncertain parameter in the nonlinear system, an adaptive law and a dynamic event-triggering-based sampling approach are produced. On the basis of the state observer, we propose a novel adaptive sampled control law to ensure the global stability of the closed-loop nonlinear systems. Owing to the dynamic event-triggered adaptive control method, the control performance can be guaranteed, and the Zeno behavior is avoided. The verification of the method is attributed to the simulation of a manipulator system.