Dynamic probabilistic event-based fault detection for unmanned surface vehicles systems under hybrid attacks

In this paper, the design of fault detection filter (FDF) for a class of unmanned surface vehicle (USV) systems based on dynamic probabilistic event-triggered transmission protocol under compound cyber attacks is studied. First, the dynamic probabilistic event-triggered mechanism and numerical quantization are used to boost system performance, reduce communication resource consumption, and prevent network congestion. Considering Denial-of-service (DoS) attack and spoofing attack, a compound attack model is established, which results in the filtering error system being converted into a stochastic switching system. And the sufficient conditions of the mean-square exponential stability for the USV system are obtained by using the Lyapunov functional and linear matrix inequality (LMI) technique. The gains of the designed filter and weighting matrix are obtained by optimizing the LMIs. Finally, a practical example is given to verify the feasibility of the proposed fault detection method.