Event-Based Fault Detection for Unmanned Surface Vehicles Subject to Denial-of-Service Attacks

• Published in: IEEE transactions on systems, man, and cybernetics. Systems Vol. 52; no. 5; pp. 3326 - 3336
• Main Authors: Fei, Zhongyang, Wang, Xudong, Wang, Zhenhua
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.05.2022; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Communication networks; Cyber-physical security; Denial of service attacks; denial-of-service (DoS) jamming attacks; Denial-of-service attack; Energy consumption; event-triggered mechanisms; Fault detection; Jamming; Surface vehicles; Switches; System performance; unmanned surface vehicles (USVs); Unmanned vehicles; Wireless communication
• ISSN: 2168-2216; 2168-2232
• DOI: 10.1109/TSMC.2021.3064884

In this work, the problem of event-based fault detection is addressed for unmanned surface vehicles (USVs) under denial-of-service (DoS) jamming attacks. A fault detection filter (FDF) is deployed to generate residual for USV systems with external disturbance and system faults. A resilient event-triggered mechanism is implemented to reduce the bandwidth occupation of communication network and energy consumption of USV system as well as mitigating the influence of DoS attacks. Based on the established framework, a switched residual system is constructed and a criterion is deduced to ensure the exponential stability and weighted <inline-formula> <tex-math notation="LaTeX">H_{\infty } </tex-math></inline-formula> performance of residual system via piecewise Lyapunov functional approach. The FDF and resilient event-triggered mechanism are co-designed. Simulation results are provided to testify the efficient performance of the devised resilient event-triggered fault detection method.