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    This summary is machine-generated.

    This study introduces completely event-triggered mechanisms (CETMs) for multiagent systems (MASs) to enhance leader-following consensus. CETMs reduce data transmissions to actuators, ensuring network efficiency and system stability under dynamic conditions.

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    Area of Science:

    • Control Systems Engineering
    • Distributed Systems
    • Robotics

    Background:

    • Multiagent systems (MASs) often face communication burdens.
    • Existing event-triggered schemes primarily reduce inter-agent communication.
    • Actuator communication remains a significant factor in system efficiency.

    Purpose of the Study:

    • To develop and analyze completely event-triggered mechanisms (CETMs) for MASs.
    • To enhance leader-following consensus in MASs with directed switching topologies.
    • To minimize data transmissions to actuators while ensuring system stability.

    Main Methods:

    • Improved triggered decisions incorporating output and leader link changes.
    • Matrix inequality-based methods to minimize allowable average dwell time (ADT) of switching topologies.
    • Multiple Lyapunov functions (MLFs) to derive sufficient conditions for consensus.

    Main Results:

    • CETMs significantly reduce data transmissions to actuators compared to traditional methods.
    • The proposed method guarantees leader-following consensus under specific ADT conditions.
    • The effectiveness of CETMs is demonstrated through an autonomous underwater vehicle (AUV) example.

    Conclusions:

    • CETMs offer a more efficient approach to achieving consensus in MASs.
    • The developed conditions ensure robust system performance despite switching topologies.
    • The findings have practical implications for networked control systems, particularly in robotics and autonomous systems.