Multi-step predictive control of a PDF-shaping problem

H. Wang; J.F. Zhang; H. Yue

Multi-step predictive control of a PDF-shaping problem

H. Wang, J.F. Zhang, H. Yue

Electronic And Electrical Engineering

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

11 Citations (Scopus)

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	6
Journal	Acta Automatica Sinica
Volume	31
Issue number	2
Publication status	Published - Mar 2005

Keywords

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

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. ",

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

AU - Wang, H.

AU - Zhang, J.F.

AU - Yue, H.

PY - 2005/3

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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 - probability density function (PDF)

KW - predictive control

KW - B-spline functions

KW - stochastic distribution

M3 - Article

VL - 31

SP - 274

EP - 279

JO - Acta Automatica Sinica

JF - Acta Automatica Sinica

IS - 2

ER -

Multi-step predictive control of a PDF-shaping problem

Abstract

Keywords

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