On Relative-Output Feedback Approach for Group Consensus of Clusters of Multiagent Systems

Kamil Hassan, Fatima Tahir, Muhammad Rehan, Choon Ki Ahn, Mohammed Chadli

    Research output: Contribution to journalArticlepeer-review

    30 Citations (Scopus)

    Abstract

    In this article, the group consensus problem is addressed for a network of multiagent systems (MASs). Unlike in existing literature, where a relative-state feedback-based distributed control input is used to achieve group consensus, this work aims at designing a relative-output-based distributed control law to achieve the same goal. To that effect, the Lyapunov stability theory is used to formulate the sufficient and necessary conditions for the existence of such a feedback controller and then separate conditions have been included for its design. In addition to that, a new linear matrix inequality is explored to choose the intracluster coupling strengths to ensure group consensus. In this article, the relative-output-based control approach is investigated for both the leaderless and the leader-following frameworks of the group consensus problem, and the theoretical findings presented are validated using numerical examples and simulation results.

    Original languageEnglish
    Pages (from-to)55-66
    Number of pages12
    JournalIEEE Transactions on Cybernetics
    Volume53
    Issue number1
    DOIs
    Publication statusPublished - 2023 Jan 1

    Bibliographical note

    Funding Information:
    This work was supported in part by the National Research Foundation of Korea (NRF) grant funded by the Korea Government (Ministry of Science and ICT) under Grant NRF- 2020R1A2C1005449, and in part by the Brain Korea 21 Plus Project in 2021.

    Publisher Copyright:
    © 2022 IEEE.

    Keywords

    • Cluster consensus
    • clusters of heterogeneous systems
    • consensus
    • cooperative control of multiagent systems (MAS)
    • group consensus
    • static output feedback control

    ASJC Scopus subject areas

    • Software
    • Control and Systems Engineering
    • Information Systems
    • Human-Computer Interaction
    • Computer Science Applications
    • Electrical and Electronic Engineering

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