Dynamic Event-Triggered Output-Feedback Control for Large-Scale Feedforward Nonlinear Discrete-Time Impulsive Systems

Abstract

This article addresses the dynamic event-triggered output-feedback control problem for a class of large-scale feedforward nonlinear discrete-time impulsive systems. The investigated systems are allowed to contain impulse effects, discrete-time dynamics, and large-scale coupled characteristics, which brings substantial difficulties to the event-triggered control. It is worth noting that this scenario has not been considered in the existing works. For that, a novel dynamic event-triggered output-feedback control strategy is proposed in this article. Specifically, we apply a gain scaling approach to cope with system uncertainties and employ an average impulsive interval technique to suppress the undesirable impulse effects. Then, a novel low-gain discrete-time impulsive observer is constructed to estimate the unmeasurable system states. After that, a dynamic event-triggered output-feedback controller, which has a concise linear-like form, is delicately designed to ensure that all the signals of the resulting closed-loop system are globally bounded, and the system states converge to the origin. Moreover, by enhancing the gain scaling mechanism, we further develop an improved output-feedback control strategy to counteract stronger nonlinearities. Finally, the effectiveness of the proposed control strategy is demonstrated by a practical simulation example.