Adaptive Prescribed-Performance Control of Nonlinear Strict-Feedback Systems Based on State-Triggered Mechanism

This paper studies the problem of event-triggered control for nonlinear strict-feedback systems with state-triggered mechanism. Aiming at the necessary differentiability problem of virtual controls caused by event-triggered mechanism, a asymptotic filter combined with prescribed-performance control procedure is constructed to make the filter error is constrained within the prescribed-performance function. According to the proposed filter structure, the backstepping design procedure is constructed, and the controller is designed by combining the prescribed-performance technology to ensure that the control input can make the system achieve asymptotic stability and convergence according to the prescribed performance.