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Consensus of Linear Multi-Agent Systems by Distributed Event-Triggered Strategy.

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    This study introduces a novel event-triggered control scheme for multi-agent systems, ensuring consensus is reached asymptotically. The proposed distributed, asynchronous, and independent strategy avoids singular triggering and Zeno behavior for robust control.

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    Area of Science:

    • Control Systems Engineering
    • Robotics
    • Networked Systems

    Background:

    • Multi-agent systems require consensus for coordinated behavior.
    • Traditional control schemes often rely on continuous communication, which is inefficient.

    Purpose of the Study:

    • To develop a novel event-triggered control scheme for multi-agent systems with general linear dynamics.
    • To ensure asymptotic consensus is achieved efficiently and reliably.

    Main Methods:

    • A distributed, asynchronous, and independent event-triggered control strategy is proposed.
    • The feasibility is verified by excluding singular triggering and Zeno behavior.
    • A self-triggered algorithm is developed using local information to determine future triggering times.

    Main Results:

    • Asymptotic consensus is achieved in the controlled multi-agent system.
    • The event-triggered strategy is proven feasible and avoids undesirable triggering phenomena.
    • The self-triggered algorithm eliminates the need for continuous monitoring of measurement errors.

    Conclusions:

    • The proposed event-triggered and self-triggered control schemes are effective for achieving consensus in multi-agent systems.
    • These methods offer improved efficiency by reducing communication load.
    • The strategies are robust against singular triggering and Zeno behavior.