Multi-step predictive control of a PDF-shaping problem

Hong Wang; Jin Fang Zhang; Hong Yue

Multi-step predictive control of a PDF-shaping problem

Hong Wang, Jin Fang Zhang, Hong Yue

Research output: Contribution to journal › Article › peer-review

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.

Original language	English
Pages (from-to)	274-279
Number of pages	5
Journal	Zidonghua Xuebao/Acta Automatica Sinica
Volume	31
Issue number	2
Publication status	Published - Mar 2005

Keywords

B-spline functions
Predictive control
Probability density function (PDF)
Stochastic distribution control

Cite this

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title = "Multi-step predictive control of a PDF-shaping problem",

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 = "B-spline functions, Predictive control, Probability density function (PDF), Stochastic distribution control",

author = "Hong Wang and Zhang, {Jin Fang} and Hong Yue",

year = "2005",

month = mar,

language = "English",

volume = "31",

pages = "274--279",

journal = "Zidonghua Xuebao/Acta Automatica Sinica",

issn = "0254-4156",

publisher = "Kexue Chubanshe",

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T1 - Multi-step predictive control of a PDF-shaping problem

AU - Wang, Hong

AU - Zhang, Jin Fang

AU - Yue, Hong

PY - 2005/3

Y1 - 2005/3

N2 - 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.

AB - 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.

KW - B-spline functions

KW - Predictive control

KW - Probability density function (PDF)

KW - Stochastic distribution control

M3 - Article

SN - 0254-4156

VL - 31

SP - 274

EP - 279

JO - Zidonghua Xuebao/Acta Automatica Sinica

JF - Zidonghua Xuebao/Acta Automatica Sinica

IS - 2

ER -

Multi-step predictive control of a PDF-shaping problem

Abstract

Keywords

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