Performance Consensus Problem of Multi-Agent Systems with Multiple State Variables

  • HAYASHI Naoki
    Division of Mathematical Science for Social Systems, Department of Systems Innovation, Graduate School of Engineering Science, Osaka University The Institute of Electronics, Information and Communication Engineers
  • USHIO Toshimitsu
    Division of Mathematical Science for Social Systems, Department of Systems Innovation, Graduate School of Engineering Science, Osaka University The Institute of Electronics, Information and Communication Engineers

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A consensus problem has been studied in many fundamental and application fields to analyze coordinated behavior in multiagent systems. In a consensus problem, it is usually assumed that a state of each agent is scalar and all agents have an identical linear consensus protocol. We present a consensus problem of multi-agent systems where each agent has multiple state variables and a performance value evaluated by a nonlinear performance function according to its current state. We derive sufficient conditions for agents to achieve consensus on the performance value using an algebraic graph theory and the mean value theorem. We also consider an application of a performance consensus problem to resource allocation in soft real-time systems so as to achieve a fair QoS (Quality of Service) level.

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