Multi-step Predictive Control of a PDF-shaping Problem  

作　　者：王宏  张金芳  岳红  

机构地区：[1]Institute of Automation, Chinese Academy of Sciences, Beijing, 100080, P.R. China,Control Systems Centre, The University of Manchester, Manchester, UK [2]Institute of Automation, Chinese Academy of Sciences, Beijing, 100080, P.R. China

出　　处：《自动化学报》2005年第2期274-279,共6页Acta Automatica Sinica

基　　金：Supported by National Natural Science Foundation of P. R. China (60128303)

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.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：多步预测控制 概率密度函数 PDF 随机分配控制 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]