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Distributed Event-Triggered Consensus of General Linear Multiagent Systems Under Directed Graphs.

Yonghui Wu, Hao Zhang, Zhuping Wang

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    This summary is machine-generated.

    This study introduces novel event-triggered mechanisms for multiagent systems to achieve consensus efficiently. These methods reduce communication and controller updates, preventing Zeno behavior and saving system resources.

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    Area of Science:

    • Control Systems Engineering
    • Networked Systems

    Background:

    • Consensus problem in multiagent systems is crucial for coordinated behavior.
    • Existing control algorithms often require frequent communication and controller updates, leading to high resource consumption.

    Purpose of the Study:

    • To develop novel distributed event-triggered mechanisms for achieving consensus in general linear multiagent systems.
    • To reduce communication and controller update frequencies while ensuring system stability and performance.

    Main Methods:

    • Proposed a novel distributed static event-triggered mechanism with a state-dependent threshold.
    • Introduced a distributed dynamic event-triggered mechanism to further decrease update frequencies.
    • Ensured a positive lower bound on average time intervals to exclude Zeno behavior.

    Main Results:

    • Successfully achieved consensus in general linear multiagent systems using the proposed event-triggered mechanisms.
    • Demonstrated significant reduction in communication and controller update frequencies compared to existing methods.
    • Excluded Zeno behavior, ensuring practical implementation.

    Conclusions:

    • The developed static and dynamic event-triggered mechanisms are effective for solving the consensus problem in multiagent systems.
    • These mechanisms offer a resource-efficient approach to consensus control.
    • Numerical simulations validated the proposed methods' effectiveness.