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    This study introduces a new fault detection (FD) strategy for unmanned marine vehicles (UMVs) to counter external disturbances and denial-of-service (DoS) attacks. The developed method ensures system stability and performance, improving UMV security and reliability.

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    Area of Science:

    • Marine Engineering
    • Control Systems
    • Cybersecurity

    Background:

    • Unmanned marine vehicles (UMVs) face security challenges from external disturbances and denial-of-service (DoS) attacks.
    • Existing fault detection (FD) methods struggle with timely detection of aperiodic DoS attacks.
    • Asynchronous switched systems provide a framework for modeling UMVs under these complex conditions.

    Purpose of the Study:

    • To develop a novel fault detection (FD) strategy for unmanned marine vehicles (UMVs).
    • To address the challenge of detecting aperiodic denial-of-service (DoS) attacks in real-time.
    • To ensure system stability and performance under external disturbances and DoS attacks.

    Main Methods:

    • Modeling the UMV and its filters as an asynchronous switched system.
    • Utilizing model-dependent average dwell time (MDADT) and piecewise Lyapunov functions (PLFs) to derive stability conditions.
    • Calculating the bounds for tolerable sleep intervals and DoS attack intervals.
    • Employing decoupling techniques for the design of FD filters.

    Main Results:

    • Sufficient conditions for exponential stability and prescribed performance were derived.
    • The lower bound of the tolerable sleep interval and the upper bound of the DoS attack interval were rigorously calculated.
    • Design criteria for FD filters were obtained.
    • Simulations confirmed the effectiveness of the proposed FD strategy on a UMV.

    Conclusions:

    • The novel FD strategy effectively enhances UMV resilience against external disturbances and DoS attacks.
    • The method ensures system stability and performance, crucial for autonomous marine operations.
    • The derived conditions and filter design criteria provide a robust framework for UMV security.