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Observer-Based Fuzzy Secure Control for High-Order MASs Against Communication Delays Under Jointly Connected

Jiawei Ma, Huaguang Zhang, Juan Zhang

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    This summary is machine-generated.

    This study introduces a novel observer-based adaptive fuzzy control for nonlinear multiagent systems (MASs), enhancing security against communication delays and deception attacks. The method ensures system stability and accurate tracking, even with unknown dynamics and switching topologies.

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    Area of Science:

    • Control Systems Engineering
    • Artificial Intelligence
    • Networked Systems

    Background:

    • Multiagent systems (MASs) face challenges like communication delays and deception attacks.
    • Ensuring secure consensus control in high-order nonlinear MASs with switching topologies is complex.
    • Leader-state inaccessibility and unknown system dynamics further complicate control design.

    Purpose of the Study:

    • To develop an observer-based adaptive fuzzy secure consensus control for high-order nonlinear MASs.
    • To address challenges posed by communication delays, deception attacks, and jointly connected switching topology.
    • To reconstruct leader states and approximate unknown system dynamics for robust control.

    Main Methods:

    • A distributed consensus observer with delay-attack resilience was developed.
    • Fuzzy logic systems (FLS) were employed to approximate unknown nonlinear dynamics.
    • Backstepping design and adding power integral method were used for control synthesis.

    Main Results:

    • The proposed observer effectively compensates for time-varying delays and deception attacks.
    • Adaptive fuzzy state observer reconstructs unmeasurable states using post-attack signals.
    • Observer errors converge exponentially, ensuring stability and achieving near-origin tracking errors.

    Conclusions:

    • The developed observer-based adaptive fuzzy secure consensus control is effective for high-order nonlinear MASs.
    • The approach enhances resilience against communication delays and deception attacks under switching topologies.
    • Simulation results validate the protocol's effectiveness in achieving secure consensus and stability.