Stochastic Distribution Control of Singular Systems: Output PDF Shaping

被引：0
|
作者：
A.J.A.LEPRAND
机构：
[1] Control Systems Centre The University of Manchester
[2] Manchester M60 1QD UK
来源：
自动化学报 | 2005年 / 01期
关键词：
Singular systems; dynamic stochastic systems; probability density function (PDF); B-splines neural networks;
D O I：
10.16383/j.aas.2005.01.015
中图分类号：
TP273 [自动控制、自动控制系统];
学科分类号：
080201 ; 0835 ;
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.
引用
收藏
页码：151 / 160
页数：10
相关论文
共 3 条
  • [1] On initial instantaneous jumps of singular systems. Liu W Q, Yan W Y, Teo K L. IEEE Transactions on Automatic Control . 1995
  • [2] Stability robustness of linear discrete singular time-delay systems with structured parameter uncertainties. Chen S-H, Chou J-H. IEE Proceedings Control Theory and Applications . 2003
  • [3] Input-output block decoupling of linear time-varying singular systems. Liu X, Wang X, Ho D W C. IEEE Transactions on Automatic Control . 2000
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