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Strong Non-Zeno Mixed Adaptive Dynamic Event-Triggered Control for Distributed Consensus.

Shuo Yuan, Chengpu Yu, Jian Sun

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    This study introduces a novel adaptive event-triggered control for linear multiagent systems. The method ensures agents reach consensus efficiently using intermittent communication while guaranteeing a minimum time between control updates.

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    Area of Science:

    • Control Theory
    • Systems Engineering
    • Distributed Systems

    Background:

    • Consensus control is crucial for coordinating multiagent systems.
    • Event-triggered control aims to reduce communication load.
    • Existing methods often require global topology information or lack strict minimum interevent time guarantees.

    Purpose of the Study:

    • To develop a distributed adaptive event-triggered consensus control strategy for linear multiagent systems.
    • To ensure a strictly positive minimum interevent time (MIET) for efficient communication.
    • To achieve asymptotic consensus without prior knowledge of the communication topology.

    Main Methods:

    • A strong non-Zeno mixed adaptive dynamic event-triggering scheme was proposed.
    • A model-based, fully distributed adaptive control law was designed.
    • A hybrid system model was constructed for stability analysis.

    Main Results:

    • The proposed strategy guarantees a strictly positive minimum interevent time (MIET).
    • Asymptotic consensus was achieved for all agents through intermittent communication.
    • The control is fully distributed, requiring no global topology information.

    Conclusions:

    • The developed control method effectively achieves distributed adaptive consensus in linear multiagent systems.
    • The non-Zeno event-triggering scheme ensures efficient and guaranteed communication intervals.
    • The approach is validated through simulation, demonstrating its practical applicability.