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    This study introduces a defense strategy for nonlinear multiagent systems (MASs) against denial-of-service (DoS) attacks. Novel observers ensure secure tracking consensus even when attacks disrupt communication links.

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    Area of Science:

    • Control Systems Engineering
    • Networked Systems Security
    • Distributed Computing

    Background:

    • Nonlinear multiagent systems (MASs) face challenges in achieving secure tracking consensus due to denial-of-service (DoS) attacks.
    • DoS attacks, categorized as connectivity-maintained and connectivity-broken, can destabilize system performance by altering network topologies.

    Purpose of the Study:

    • To develop a robust defense strategy for nonlinear MASs against DoS attacks.
    • To ensure secure tracking consensus and maintain system stability under various attack scenarios.

    Main Methods:

    • A novel defense strategy combining distributed observation and decentralized control is proposed.
    • A distributed fixed-time observer (DFTO) is developed for connectivity-maintained attacks.
    • An improved resilient DFTO (RDFTO) with an online label updating algorithm is designed for connectivity-broken attacks.
    • A fixed-time controller is constructed using the DFTO/RDFTO and power integrator technique.

    Main Results:

    • The DFTO effectively estimates leader information and eliminates DoS attack impacts.
    • The RDFTO preserves essential communication links and leader information estimation under connectivity-broken attacks.
    • The proposed controllers achieve desired transient performance for consensus tracking within a finite time.

    Conclusions:

    • The developed defense strategy, incorporating DFTO and RDFTO, successfully mitigates or eliminates the adverse effects of DoS attacks on MASs.
    • The strategy ensures secure tracking consensus and finite-time convergence, validated by stability analysis and simulations.