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Consensus in Networks of Agents with Cooperative and Antagonistic Interactions

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Listed:
  • Yanping Gao

    (School of E-Business and Logistics, Beijing Technology and Business University, Beijing 100048, China
    National Engineering Laboratory for Agri-Product Quality Traceability, Beijing 100048, China
    Research Center for Consumption Big Data and Intelligent Decision-Making, Beijing 100048, China)

  • Kaixuan Kou

    (School of E-Business and Logistics, Beijing Technology and Business University, Beijing 100048, China
    National Engineering Laboratory for Agri-Product Quality Traceability, Beijing 100048, China
    Research Center for Consumption Big Data and Intelligent Decision-Making, Beijing 100048, China)

  • Weijing Zhang

    (School of E-Business and Logistics, Beijing Technology and Business University, Beijing 100048, China
    National Engineering Laboratory for Agri-Product Quality Traceability, Beijing 100048, China
    Research Center for Consumption Big Data and Intelligent Decision-Making, Beijing 100048, China)

  • Yishu Dai

    (School of E-Business and Logistics, Beijing Technology and Business University, Beijing 100048, China
    National Engineering Laboratory for Agri-Product Quality Traceability, Beijing 100048, China
    Research Center for Consumption Big Data and Intelligent Decision-Making, Beijing 100048, China)

  • Jingwei Ma

    (Safety Assessment Guarantee Room, Beijing 100073, China)

Abstract

This paper studies the consensus of first-order discrete-time multi-agent systems with fixed and switching topology, and there exists cooperative and antagonistic interactions among agents. A signed graph is used to model the interactions among agents, and some sufficient conditions for consensus are obtained by analyzing the eigenvalues of a Laplacian matrix in the case of fixed topology. The results indicate that having a spanning tree is only a necessary condition for the consensus of multi-agent systems with signed graphs, which is also affected by edge weights. Consensus is further discussed in the case of switching topology, and the results reveal that consensus can be reached if the controller gain and the union graphs among some consecutive time intervals satisfy some conditions. Finally, several simulation examples further confirm the theoretical results.

Suggested Citation

  • Yanping Gao & Kaixuan Kou & Weijing Zhang & Yishu Dai & Jingwei Ma, 2023. "Consensus in Networks of Agents with Cooperative and Antagonistic Interactions," Mathematics, MDPI, vol. 11(4), pages 1-13, February.
  • Handle: RePEc:gam:jmathe:v:11:y:2023:i:4:p:921-:d:1065413
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    References listed on IDEAS

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    1. Norberto Urbina-Brito & María-Eusebia Guerrero-Sánchez & Guillermo Valencia-Palomo & Omar Hernández-González & Francisco-Ronay López-Estrada & José Antonio Hoyo-Montaño, 2021. "A Predictive Control Strategy for Aerial Payload Transportation with an Unmanned Aerial Vehicle," Mathematics, MDPI, vol. 9(15), pages 1-15, August.
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