Fault diagnosis and tolerant control for non-Gaussian stochastic distribution control systems based on the rational square-root approximation model
基于有理平方根逼近的非高斯随机分布系统的故障诊断和容错控制

Stochastic distribution control (SDC) systems are a group of systems where the outputs considered are the measured probability density functions (PDFs) of the system output whilst subjected to a normal crisp input. The purpose of the control algorithm design of such systems is to choose a control input such that the output PDF of the system output can follow a pre-specified PDF as close as possible. Using the rational square-root B-spline model to represent the dynamics between the output PDF and the input,a nonlinear adaptive observer based fault diagnosis algorithm is proposed to diagnose the fault in the dynamic part of the system in this paper. Through the controller reconfiguration.a good output PDF tracking can still be realized when fault occurs,which has been shown to be able to enhance the reliability of the SDC system.