Stabilizability of multi-agent systems under event-triggered controllers

TL;DR

This paper investigates the S-stabilizability of multi-agent systems with linear dynamics under event-triggered control strategies, proposing new protocols that reduce resource consumption while ensuring system stability.

Contribution

It introduces a novel distributed event-triggered protocol combining static and dynamic strategies, ensuring S-stabilizability with resource efficiency under weakly connected directed graphs.

Findings

Proposed event-triggered control guarantees S-stabilizability.

Stabilizability achieved if initial matrix A is Hurwitz.

Static event-triggered condition is a limit case of dynamic condition.

Abstract

In view of the problems of large consumption of communication and computing resources in the control process, this note studies a fundamental property for a class of multi-agent systems under event-triggered strategy: the S-stabilizability of a group of multi-agent systems with general linear dynamics under weakly connected directed topology. The results indicate that the S-stabilizability can be described in some way that the stabilizability region and feedback gain can evaluate the performance of the protocol. Firstly, a new distributed event-triggered protocol is proposed. Under this protocol, a kind of hybrid static and dynamic event-triggered strategy are presented, respectively. In particular, by using Lyapunov stability theory and graph partition tool, it is proved that the proposed event-triggered control strategy can guarantee the closed-loop system achieve S-stabilizability effectively, if at least one vertex in each iSCC cell receives information from the leader, which reflects the ability of distributed control law. Further, we demonstrate that the stabilizability can be realized if the initial system matrix A is Hurwitz. Moreover, it is confirmed that the designed static event-triggered condition is a limit case of dynamic event condition and can guarantee Zeno-free behavior. Finally, the validity of the theoretical results is proved by numerical simulation.