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Output Consensus of Heterogeneous Linear Multiagent Systems With Directed Graphs via Adaptive Dynamic Event-Triggered

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    Summary
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    This study introduces a new adaptive dynamic event-triggered mechanism for heterogeneous linear multiagent systems. This approach conserves resources by optimizing agent communication and controller updates, outperforming existing methods.

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    Area of Science:

    • Control Systems Engineering
    • Networked Systems
    • Distributed Computing

    Background:

    • Multiagent systems require efficient communication and control strategies.
    • Existing event-triggered mechanisms often assume global topology knowledge and may not guarantee resource savings.
    • Heterogeneous systems present unique challenges in achieving consensus.

    Purpose of the Study:

    • To develop a novel adaptive dynamic event-triggered mechanism for output consensus in heterogeneous linear multiagent systems.
    • To reduce communication and controller update burdens on agents.
    • To eliminate the need for prior knowledge of the communication topology.

    Main Methods:

    • Design of an adaptive dynamic event-triggered control algorithm.
    • Theoretical analysis to guarantee strictly positive interevent time intervals.
    • Extension of results from strongly connected graphs to directed graphs with a spanning tree.
    • Simulation validation of the proposed mechanism.

    Main Results:

    • The proposed mechanism ensures positive interevent time intervals for communication and control updates.
    • A dynamic variable in the mechanism offers superior control cost optimization compared to exponential or L1 signals.
    • The approach is effective for directed communication graphs, including those with only a spanning tree.

    Conclusions:

    • The novel adaptive dynamic event-triggered mechanism effectively addresses the output consensus problem in heterogeneous linear multiagent systems.
    • The method significantly conserves system resources by optimizing communication and controller updates.
    • The proposed approach provides a robust and efficient solution for networked control systems.