Event-Based Fault Detection for Unmanned Surface Vehicles Subject to Denial-of-Service Attacks
研究了无人水面艇在拒绝服务攻击下的事件触发故障检测问题，设计了故障检测滤波器和弹性事件触发机制，以减少通信带宽占用和能耗，并通过仿真验证了方法的有效性。
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 xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <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.