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    This study introduces a novel dynamical event-triggered mechanism (DETM) for discrete-time nonlinear multiagent systems (MASs) over fading channels. The DETM effectively reduces communication burden while ensuring leader-following consensus and H∞ performance.

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    Area of Science:

    • Control Systems Engineering
    • Networked Systems

    Background:

    • Leader-following consensus is crucial for multiagent systems (MASs).
    • Fading channels and communication burden pose challenges in MASs.
    • Existing event-triggered strategies may not be optimal for dynamic environments.

    Purpose of the Study:

    • To investigate the leader-following consensus problem for discrete-time nonlinear MASs over nonidentical fading channels.
    • To develop a dynamical event-triggered mechanism (DETM) to reduce communication network burden.
    • To ensure H∞ performance alongside consensus achievement.

    Main Methods:

    • Construction of a nonidentical fading channels model.
    • Development of a dynamical event-triggered mechanism (DETM) with a dynamically adjusted threshold.
    • Design of a distributed consensus control protocol based on DETM.
    • Derivation of controller parameters using matrix inequalities.

    Main Results:

    • Sufficient criteria are provided to guarantee leader-following consensus and H∞ performance.
    • The DETM dynamically adjusts its threshold, unlike static methods.
    • Simulation results demonstrate the DETM's effectiveness in reducing communication burden.

    Conclusions:

    • The proposed DETM is a prompt and effective method for diminishing communication burden in MASs.
    • The developed control protocol ensures consensus and H∞ performance under fading channels.
    • This approach offers a viable solution for practical applications of networked MASs.