Fault Detection of Stochastic Systems via Adaptive Event Triggering

Abstract

In this paper, a fault detection strategy via the adaptive event-triggered scheme is proposed to solve the problem of stochastic systems fault detection under a class of network communication constraints with packet dropouts and time delays. The stochastic variable satisfying Bernoulli distribution is used to describe the packet dropout problem in network transmission channels, the adaptive event-triggered scheme with the dynamic change of the trigger threshold with the sampling information is designed to alleviate the network communication pressure and save the network communication resources. According to Lyapunov stability theory and linear matrix inequality, the existing condition of fault detection filter is obtained, and the expected requirements of the fault detection are satisfied under the premise of the stability of the fault detection model, the relevant parameters of the fault detection system are obtained by solving linear matrix inequality. Simulation results demonstrate the effectiveness of the method.