Leader-Following Output Consensus of Heterogeneous Uncertain Linear Multiagent Systems With Dynamic Event-Triggered Strategy

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

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Detail(s)

Original languageEnglish
Article number9265207
Pages (from-to)1626-1637
Number of pages12
Journal / PublicationIEEE Transactions on Systems, Man, and Cybernetics: Systems
Volume52
Issue number3
Online published20 Nov 2020
Publication statusPublished - Mar 2022

Abstract

This article investigates the leader-following output consensus problem of heterogeneous linear multiagent systems, where the nonidentical followers are subject to norm bounded parameter uncertainties. Two novel distributed event-triggered consensus strategies based on state feedback and output feedback, respectively, are proposed to solve the leader-following output consensus problem. A dynamic event-triggering mechanism which involves internal state variables is proposed to determine the next triggering instant. It should be noted that the controllers can be designed without the knowledge of some global graph information, such as the eigenvalues of the Laplacian matrix associated with the corresponding communication graph and the number of agents. In addition, the interevent time can be prolonged and the Zeno behavior can be excluded with the proposed dynamic triggering mechanism. Finally, an example is presented to illustrate the effectiveness of the proposed controllers.

Research Area(s)

  • Event-triggered control, Heterogeneous multiagent systems (MASs), Leader-following output consensus, Robust control

Citation Format(s)

Leader-Following Output Consensus of Heterogeneous Uncertain Linear Multiagent Systems With Dynamic Event-Triggered Strategy. / Yang, Ruohan; Liu, Lu; Feng, Gang.

In: IEEE Transactions on Systems, Man, and Cybernetics: Systems, Vol. 52, No. 3, 9265207, 03.2022, p. 1626-1637.

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