Adaptive Output Consensus Design in Clustered Networks of Heterogeneous Linear Multi-Agent Systems

Van Thiem Pham, Nadhir Messai, D. Hoa Nguyen, Noureddine Manamanni

    研究成果: Chapter in Book/Report/Conference proceedingConference contribution

    2 被引用数 (Scopus)

    抄録

    This paper focuses on the output consensus problem in networks divided into clusters of heterogeneous agents. In each cluster, there exists an agent called a leader, who can instantly communicate with other leaders outside of its cluster. Moreover, each cluster is represented by a fixed and undirected graph. By introducing a dynamic internal reference model for each agent, that takes into account the continuous-time communications among internal reference models in virtual clusters and discrete information exchanges between virtual clusters, an adaptive distributed consensus control protocol is proposed. It is shown that the output consensus problem is indirectly solved through the consensus of the virtual references. Then, a sufficient condition for the internal reference models in virtual clusters is proposed. Next, a sufficient and necessary condition is derived for the output consensus of linear heterogeneous agents in the considered clustered network. Finally, an illustrative example is given to show the effectiveness of the proposed theoretical results.

    本文言語英語
    ホスト出版物のタイトル2019 IEEE 58th Conference on Decision and Control, CDC 2019
    出版社Institute of Electrical and Electronics Engineers Inc.
    ページ5426-5431
    ページ数6
    ISBN(電子版)9781728113982
    DOI
    出版ステータス出版済み - 12 2019
    イベント58th IEEE Conference on Decision and Control, CDC 2019 - Nice, フランス
    継続期間: 12 11 201912 13 2019

    出版物シリーズ

    名前Proceedings of the IEEE Conference on Decision and Control
    2019-December
    ISSN(印刷版)0743-1546

    会議

    会議58th IEEE Conference on Decision and Control, CDC 2019
    国/地域フランス
    CityNice
    Period12/11/1912/13/19

    All Science Journal Classification (ASJC) codes

    • 制御およびシステム工学
    • モデリングとシミュレーション
    • 制御と最適化

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