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    We developed a new event-triggered consensus protocol for multiagent systems that reduces communication load. This approach ensures agents only communicate when necessary, improving network efficiency and achieving bounded consensus.

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    Area of Science:

    • Control Theory
    • Distributed Systems
    • Networked Systems

    Background:

    • Multiagent systems require consensus protocols for coordinated behavior.
    • Existing protocols often incur high communication burdens.
    • External disturbances can destabilize system consensus.

    Purpose of the Study:

    • To propose a novel distributed event-triggered consensus protocol for linear multiagent systems.
    • To address both leader-follower and nonleader consensus scenarios.
    • To reduce communication load in multiagent networks.

    Main Methods:

    • Development of an event-triggering mechanism for state signal transmission.
    • Application of nonsmooth analysis techniques, including differential inclusion and Filippov solutions.
    • Utilizing nonsmooth Lyapunov analysis to guarantee system stability and consensus.

    Main Results:

    • The proposed protocol significantly decreases communication burden by avoiding continuous neighbor interaction.
    • The event-triggering mechanism results in discontinuous control signals, addressed by nonsmooth analysis.
    • Uniformly bounded consensus is achieved, with adjustable consensus error bounds.

    Conclusions:

    • The novel event-triggered consensus protocol effectively manages communication load in linear multiagent systems.
    • Nonsmooth analysis provides a robust framework for handling discontinuous control in consensus problems.
    • The protocol offers tunable parameters for precise control over consensus error bounds.