Event-triggered adaptive tracking control for uncertain nonlinear systems based on a new funnel function

Abstract

This paper focuses on the problem of event-triggered funnel control for strict-feedback nonlinear systems with unknown parameters. For the first time, an adjustable funnel function is proposed, whose parameters can be adjusted online according to the change of tracking error. Furthermore, based on event-triggered control, an adaptive event-triggered funnel controller is constructed, which guarantees that all the signals in the closed-loop system are bounded. Besides, the output tracking error is further optimized and always falls within an adjustable funnel which has a faster convergence. Meanwhile, the Zeno behavior also is avoided. Simulation results demonstrate the effectiveness of the developed controller.