%0 Journal Article
%T Fault diagnosis and tolerant control for non-Gaussian stochastic distribution control systems based on the rational square-root approximation model<br>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
%A YAO Li-n
%A WANG Hong
%A <br>姚利娜
%A 王宏
%J 控制理论与应用
%D 2006
%I 
%X 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.
%K rational square-root approximation
%K non-Gaussian SDC systems
%K fault diagnosis
%K fault tolerant control<br>有理平方根逼近
%K 非高斯随机分布系统
%K 故障诊断
%K 容错控制
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=970898A57DFC021F93AB51667BAED7F7&aid=83579C2575B20105&yid=37904DC365DD7266&vid=EA389574707BDED3&iid=E158A972A605785F&sid=B4F9D541F855CF96&eid=6D6B4A516C7DB6EE&journal_id=1000-8152&journal_name=控制理论与应用&referenced_num=0&reference_num=16