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Reset Control for Consensus of Multiagent Systems with Event-Triggered Communication.

Guanglei Zhao, Changchun Hua, Xinping Guan

    IEEE Transactions on Cybernetics
    |December 25, 2019
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    This study introduces a novel reset mechanism and event-triggering mechanism for multiagent systems (MASs) to improve transient performance and stability analysis in networked environments. The proposed hybrid systems framework ensures Zeno-freeness for robust consensus control.

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    Area of Science:

    • Control Theory
    • Networked Systems
    • Hybrid Systems

    Background:

    • Reset control enhances linear system transient performance but poses stability analysis challenges, particularly in networked environments.
    • Event-triggered communication in multiagent systems (MASs) aims to reduce communication load but requires careful design to ensure stability.
    • Existing methods struggle to unify the analysis of reset-induced and event-trigger-induced jump dynamics.

    Purpose of the Study:

    • To develop a novel reset mechanism (RM) and hybrid event-triggering mechanism (ETM) for multiagent systems (MASs) with guaranteed Zeno-freeness.
    • To construct a unified hybrid model that integrates reset and event-trigger dynamics for stability analysis.
    • To present a hybrid systems framework for consensus analysis and co-design of the RM and ETM.

    Main Methods:

    • Decomposition of the state space into flow and jump sets based on the proposed RM and ETM.
    • Construction of a hybrid model for MASs to unify the analysis of jump dynamics.
    • Development of a hybrid systems framework for consensus analysis and controller co-design.

    Main Results:

    • A novel reset mechanism (RM) and hybrid event-triggering mechanism (ETM) are proposed for MAS consensus.
    • A unified hybrid model is established to handle both reset-induced and event-trigger-induced jump dynamics.
    • Guaranteed Zeno-freeness is achieved for the proposed mechanisms.

    Conclusions:

    • The proposed hybrid systems framework effectively addresses the challenges of stability analysis in networked MASs with reset control and event-triggered communication.
    • The novel RM and ETM enable robust consensus control with improved transient performance.
    • Simulation results validate the efficacy of the proposed design.