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输出概率密度函数形状的多步预测控制
引用本文:王宏,张金芳,岳红.输出概率密度函数形状的多步预测控制[J].自动化学报,2005,31(2):274-279.
作者姓名:王宏  张金芳  岳红
作者单位:1.Institute of Automation, Chinese Academy of Sciences, Beijing, 100080, P.R.China
摘    要:A predictive control strategy is proposed for the shaping of the output probability density function (PDF) of linear stochastic systems. The B-spline neural network is used to set up the output PDF model and therefore converts the PDF-shaping into the control of B-spline weights vector. The Diophantine equation is then introduced to formulate the predictive PDF model, based on which a moving-horizon control algorithm is developed so as to realize the predictive PDF tracking performance.

关 键 词:Probability  density  function  (PDF)    predictive  control    B-spline  functions    stochastic  distribution  control
收稿时间:2003-3-14
修稿时间:2004-9-19

Multi-step Predictive Control of a PDF-shaping Problem
WANG Hong,Zhang Jin-fang,YUE Hong.Multi-step Predictive Control of a PDF-shaping Problem[J].Acta Automatica Sinica,2005,31(2):274-279.
Authors:WANG Hong  Zhang Jin-fang  YUE Hong
Affiliation:1.Institute of Automation, Chinese Academy of Sciences, Beijing, 100080, P.R.China
Abstract:A predictive control strategy is proposed for the shaping of the output probability density function (PDF) of linear stochastic systems. The B-spline neural network is used to set up the output PDF model and therefore converts the PDF-shaping into the control of B-spline weights vector. The Diophantine equation is then introduced to formulate the predictive PDF model, based on which a moving-horizon control algorithm is developed so as to realize the predictive PDF tracking performance.
Keywords:Probability density function (PDF)  predictive control  B-spline functions  stochastic distribution control
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