Dynamic event-triggered tracking control for a class of p-normal switched stochastic nonlinear systems

Abstract

This paper investigates the event-triggered tracking issue for p-normal switched stochastic nonlinear systems. Unlike the existing event-triggered schemes, an event-triggering mechanism is proposed with a dynamic gain. Then, a new adaptive event-triggered controller (ETC) is designed via output feedback. The presented control scheme can render that all signals of the closed-loop system are bounded almost surely. Moreover, the Zeno phenomenon is excluded. Three examples are provided to verify the efficiency of the presented strategy.

Fuzzy approximation-based adaptive tracking control for high-order nonlinear systems with asymmetric full-state constraints

“…In the past decades, nonlinear control has attracted increasing attention (Jiang and Zhai, 2019; Yuan et al, 2022). The complexity of high-order nonlinear systems has aroused great interest of scholars.…”