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Sliding Mode Control for Multiagent Systems Under DoS Attacks: A Reduced-Order Approach.

Peng Cheng, Di Wu, Rong Nie

    IEEE Transactions on Cybernetics
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    Summary
    This summary is machine-generated.

    This study introduces a sliding mode control (SMC) strategy for multiagent systems (MASs) facing denial-of-service (DoS) attacks. The approach ensures finite-time consensus despite communication disruptions and topology changes.

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    Area of Science:

    • Control Systems Engineering
    • Network Security
    • Robotics and Automation

    Background:

    • Multiagent systems (MASs) face challenges in achieving consensus due to external disruptions.
    • Denial-of-service (DoS) attacks can compromise communication channels, leading to unpredictable system behavior.
    • Stochastic variations in network topology require advanced modeling techniques like Markov jump models.

    Purpose of the Study:

    • To develop a robust sliding mode control (SMC) strategy for finite-time consensus in MASs under stochastic DoS attacks.
    • To transform the consensus problem into a stochastic finite-time boundedness (SFTB) problem for the disagreement error dynamics.
    • To ensure system stability and convergence within a finite time, even with intermittent communication.

    Main Methods:

    • A disagreement vector is introduced to reformulate the consensus problem.
    • A Markov jump model captures stochastic topology switching caused by DoS attacks.
    • A sliding mode control (SMC) law is designed to achieve finite-time convergence.
    • A partitioning policy ensures stability during both reaching and sliding phases.
    • A reduced-order approach addresses potential system uncontrollability.

    Main Results:

    • Sufficient conditions for the stochastic finite-time boundedness (SFTB) of the disagreement error dynamic system are established.
    • The proposed SMC strategy effectively drives the system towards consensus in finite time.
    • The partitioning policy guarantees system stability throughout the control process.
    • A multiaircraft system simulation validates the effectiveness of the proposed control method.

    Conclusions:

    • The developed SMC strategy provides a robust solution for finite-time consensus in MASs under DoS attacks.
    • The methodology effectively handles stochastic communication disruptions and topology variations.
    • The approach demonstrates practical applicability, as shown by the multiaircraft system example.