Shaping of Output PDF Based on the Rational Square-root B-spline Model

被引：3

作者：

ZHOU JingLin YUE Hong WANG Hong Institute of AutomationChinese Academy of SciencesBeijing Control System Centrethe University of ManchesterManchesterM QDUK ^{[1
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机构：

来源：

自动化学报 | 2005年 / 03期

关键词：

Dynamic stochastic systems; probability density function(PDF); B-spline neural network; robust control; minimum entropy control;

D O I：

10.16383/j.aas.2005.03.002

中图分类号：

TH131.43 [];

学科分类号：

摘要：

<正>This paper presents a new method for the modeling and control of the output probability density functions (PDFs) of linear stochastic systems.At first,a new PDF approximation method, namely the rational square-root B-spline model is proposed and the innovative concept of pseudo- weights is introduced.The new model is then compared with the existing B-spline models in terms of feasible domains.Next,a controller is developed to realize the output PDF tracking performance. An alternative minimal entropy control strategy is also provided for the case that no target PDF is available.Finally,illustrative examples indicate the effectiveness of the proposed algorithms.

引用

页码：13 / 21

页数：9