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输出概率密度函数形状的多步预测控制

王宏 张金芳 岳红

自动化学报2005,Vol.31Issue(2):274-279,6.
自动化学报2005,Vol.31Issue(2):274-279,6.

输出概率密度函数形状的多步预测控制

Multi-step Predictive Control of a PDF-shaping Problem

王宏 1张金芳 2岳红1

作者信息

  • 1. Institute of Automation, Chinese Academy of Sciences, Beijing, 100080, P.R. China
  • 2. Control Systems Centre, The University of Manchester, Manchester, UK
  • 折叠

摘要

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.

关键词

Probability density function (PDF)/predictive control/B-spline functions/stochastic distribution control

Key words

Probability density function (PDF)/predictive control/B-spline functions/stochastic distribution control

分类

信息技术与安全科学

引用本文复制引用

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):274-279,6.

基金项目

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

自动化学报

OA北大核心CSCD

0254-4156

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