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Average Consensus Tracking of Weight-Balanced Multi-Agent Systems via Sampled Data

Author

Listed:
  • Baoyu Huo

    (School of Information and Automation Engineering, Qilu University of Technology (Shandong Academy of Sciences), Jinan 250353, China)

  • Jian Ma

    (School of Information and Automation Engineering, Qilu University of Technology (Shandong Academy of Sciences), Jinan 250353, China)

  • Mingjun Du

    (School of Information and Automation Engineering, Qilu University of Technology (Shandong Academy of Sciences), Jinan 250353, China)

  • Lijian Yin

    (The Second Construction Limited Company of China Construction Eighth Engineering Division, Jinan 250013, China)

Abstract

This paper studies the average consensus tracking problem of first-order multi-agent systems under directed topologies. A control protocol is constructed based on the neighbors’ agent sampled information. With the help of the matrix theory and frequency domain analysis, the necessary and sufficient condition can be induced for the average consensus tracking of multi-agent systems, although the weight-balanced condition is not satisfied. In addition, a numerical simulation example is given to illustrate the effectiveness of the proposed results.

Suggested Citation

  • Baoyu Huo & Jian Ma & Mingjun Du & Lijian Yin, 2024. "Average Consensus Tracking of Weight-Balanced Multi-Agent Systems via Sampled Data," Mathematics, MDPI, vol. 12(5), pages 1-12, February.
    • Handle: RePEc:gam:jmathe:v:12:y:2024:i:5:p:674-:d:1345737
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    References listed on IDEAS

    as
    1. JingPing Shao & Yu-Ping Tian, 2018. "Multi-target localisation and circumnavigation by a multi-agent system with bearing measurements in 2D space," International Journal of Systems Science, Taylor & Francis Journals, vol. 49(1), pages 15-26, January.
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