Stochastic Distribution Control of Singular Systems: Output PDF Shaping  

作　　者：H.YUE A.J.A.LEPRAND H.WANG 

机构地区：[1]InstituteofAutomation,ChineseAcademyofSciences,Beijing100080P.R.China [2]ControlSystemsCentre,TheUniversityofManchester,ManchesterM601QDUK [3]instituteofAutomation,ChineseAcademyofSciences,Beijing100080P.R.China／／ControlSystemsCentre,TheUniversityofManchester,ManchesterM601QDUK

出　　处：《自动化学报》2005年第1期151-160,共10页Acta Automatica Sinica

基　　金：Supported by the Research Fund of Chinese Academy of Sciences (2004-1-4)

摘　　要：This paper presents a new algorithm designed to control the shape of the output probability density function (PDF) of singular systems subjected to non-Gaussian input. The aim is to select a control input uk such that the output PDF is made as close as possible to a given PDF.Based on the B-spline neural network approximation of the output PDF, the control algorithm is formulated by extending the developed PDF control strategies of non-singular systems to singular systems. It has been shown that under certain conditions the stability of the closed-loop system can be guaranteed. Simulation examples are given to show the effectiveness of the proposed control algorithm.This paper presents a new algorithm designed to control the shape of the output probability density function (PDF) of singular systems subjected to non-Gaussian input. The aim is to select a control input uk such that the output PDF is made as close as possible to a given PDF. Based on the B-spline neural network approximation of the output PDF, the control algorithm is formulated by extending the developed PDF control strategies of non-singular systems to singular systems. It has been shown that under certain conditions the stability of the closed-loop system can be guaranteed. Simulation examples are given to show the effectiveness of the proposed control algorithm.

关 键 词：随机分布控制 单系统 PDF显示输出 动态随机系统 概率密度函数 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]