Thruster Fault Detection for Unmanned Marine Vehicles Under DoS Attacks: An Asynchronous Switched Method
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View abstract on PubMed
Summary
This summary is machine-generated.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.
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.
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