具有未知扰动的广义系统的故障检测

FAULT DETECTION FOR SINGULAR STOCHASTIC SYSTEM WITH UNKNOWN DISTURBANCES

研究具有未知扰动的随机广义系统的故障检测问题,在合理的条件下,利用状态变换从原系统中分离出一个与未知扰动解耦的降阶子系统,构造了该随机子系统稳定的滤波器,给出了输出偏差量的统计特性,在此基础上,实现了系统故障的检测．

This paper focuses on the fault detection for singular stochastic systems with unknown inputs.Under the reasonable conditions,a reduced-order subsystem,which is decoupled from the unknown disturbances,is separated from the original system by using a state transform.For this stochastic subsystem,a stable filter is designed and the statistics of the output residual are given.Based on these results,the fault detection is realized.