Impulsive consensus algorithms for second-order multi-agent networks with sampled information

Zhi-Hong Guan, Zhi-Wei Liu, Gang Feng, Ming Jian

    Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

    231 Citations (Scopus)

    Abstract

    In this paper, the distributed consensus problem for second-order continuous-time multi-agent networks with sampled-data communication is investigated. Motivated by impulsive control strategy, two kinds of impulsive distributed consensus algorithm are proposed. These algorithms only utilize the sampled information and are implemented at sampled times. By using the stability theory of impulsive systems and properties of the Laplacian matrix, necessary and sufficient conditions are obtained to ensure the consensus of the controlled networks. It is shown that the control gains, the sampling period and the eigenvalues of the Laplacian matrix of the communication graph play key roles in achieving the consensus. A numerical example is given to illustrate the results. © 2012 Elsevier Ltd. All rights reserved.
    Original languageEnglish
    Pages (from-to)1397-1404
    JournalAutomatica
    Volume48
    Issue number7
    DOIs
    Publication statusPublished - Jul 2012

    Research Keywords

    • Impulsive consensus algorithm
    • Multi-agent networks
    • Sampled information
    • Second-order systems

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