Dynamic Event-triggered Fault Detection for Networked Singularly Perturbed Systems in Finite-frequency Domain Using Interval Observers

This paper investigates the fault detection problem in finite-frequency domain for networked singularly perturbed systems. A novel dynamic event-triggered scheme is introduced to mitigate the transmission burden of the network. Under the consideration of fault sensitivity and disturbance robustness, the addressed fault detection problem is converted into an auxiliary H
−
/ H
∞
filtering problem by properly augmenting the states of the original system and the interval observer. In addition, the residual generated by the interval observer can be directly utilized for fault detection decision-making instead of designing the residual evaluation function and threshold. Finally, simulation results of vehicle lateral dynamic systems are provided to illustrate the effectiveness and applicability of the proposed method.