A New Fault Detection Method for Systems With Uncertainty Under Denial‐of‐Service Attack

This paper presents a fault detection method for uncertain systems under denial‐of‐service (DoS) attack using a probabilistic approach. Model uncertainties, disturbances, and faults are systematically described using probabilistic parameter models. An aperiodic DoS attack model is introduced, with limitations only on the duration and frequency of the attack. By using a randomized algorithm, a switched fault detection filter is constructed, and a threshold is designed to achieve a balance between the false alarm and fault detection rate. The feasibility of the developed method is illustrated through experimental validation conducted on an unmanned surface vehicle system.