Fault detection of linear stochastic system in network environment

Abstract

In this paper, the problem of fault detection for linear stochastic system affected by network induced delay, random disturbance and network resource limitation is studied. On the one hand, the adaptive event triggering mechanism is used to reduce the frequency of event triggering and improve the utilization of network resources. On the other hand, the residual system constructed by the fault detection filter is designed to detect the occurrence of system faults, and the H∞ optimal performance method is used to ensure that the designed fault detection model is mean square asymptotically stable and meets the expected H∞ performance1. Finally, the simulation results show that the sampling method can not only detect the fault quickly and accurately, but also improve the utilization of network resources.