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Fully Distributed Event-Driven Adaptive Consensus of Unknown Linear Systems.

Shu Liu, Jiayue Sun, Huaguang Zhang

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    This summary is machine-generated.

    This study introduces adaptive event-driven control for multiagent systems (MASs), enabling consensus without global network knowledge. The fully distributed approach reduces communication needs and agent dynamics information, ensuring system stability and avoiding Zeno behavior.

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    Area of Science:

    • Control Systems Engineering
    • Distributed Systems
    • Robotics

    Background:

    • Achieving consensus in multiagent systems (MASs) is crucial for coordinated behavior.
    • Traditional control methods often require global network information and continuous communication, posing scalability and efficiency challenges.
    • Unknown agent dynamics and communication constraints complicate distributed consensus.

    Purpose of the Study:

    • To develop adaptive event-driven control algorithms for achieving consensus in unknown linear MASs.
    • To design fully distributed control strategies that rely solely on local information exchange.
    • To eliminate continuous communication requirements for control updates and state monitoring.

    Main Methods:

    • Adaptive event-driven control algorithms were designed for leader-follower and leaderless network topologies.
    • The algorithms utilize only local information, ensuring full distribution.
    • Zeno behavior was prevented by proving a positive lower bound between event occurrences.

    Main Results:

    • The proposed algorithms successfully achieve consensus in MASs without requiring global network structure information.
    • Continuous communication is not necessary, as control laws are updated and states monitored only when triggered.
    • The control design is independent of specific agent dynamics parameters, enhancing robustness.

    Conclusions:

    • Adaptive event-driven control offers an efficient and robust solution for consensus problems in unknown linear MASs.
    • The fully distributed nature and reduced communication burden make this approach highly practical for real-world applications.
    • The method is validated through simulations, demonstrating its effectiveness.