Adaptive dynamic event-triggered asymptotic control for uncertain nonlinear systems

Abstract

This paper presents an adaptive dynamic event-triggered asymptotic control method for uncertain strict-feedback nonlinear systems with mismatched uncertainties. A dynamic variable is introduced into event-triggered schedule to achieve dynamically regulate the threshold parameter. Meanwhile, a useful Lemma about the dynamic threshold parameter is given to guarantee the availability. Moreover, tuning function technique is used in the backstepping iterative design procedure to address mismatched uncertainties. Adaptive technique is employed to estimate the unknown parameter, then contributing to asymptotic control purpose. It is proven that the closed-loop systems by applying the designed scheme is asymptotic stable and without Zeno behavior. Simulation results and comparative analysis showcase the efficacy of the derived method.