Event-Triggered Synchronization for Nonlinear Multi-Agent Systems with Sampled Data

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

10 Scopus Citations
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Detail(s)

Original languageEnglish
Article number9102383
Pages (from-to)3553-3561
Number of pages9
Journal / PublicationIEEE Transactions on Circuits and Systems I: Regular Papers
Volume67
Issue number10
Online published27 May 2020
Publication statusPublished - Oct 2020

Abstract

In this paper, the synchronization problem for networked nonlinear agents with time-varying control gain is studied under a synchronous periodic data sampling framework. To achieve synchronization, both the state-dependent and time dependent event-triggered protocols are proposed. The effectiveness of these protocols is justified by Lyapunov stability theorem based on rigorous mathematical proof, facilitated by a delayed differential inequality with time dependent parameters. Instead of specifying a lower bound for the control gain, as others usually suggested, our criteria rely on its time-average and thus allow higher flexibility in controller design. Numerical simulations are also presented to confirm the reaching of synchronization and demonstrate the wide applicability of the proposed protocols.

Research Area(s)

  • event-trigger, nonlinear multi-agent system, Synchronization, time-varying control gain