Multi-step predictive control of a PDF-shaping problem

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

Research output: Contribution to journalArticle

6 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 languageEnglish
Pages (from-to)274-279
Number of pages6
JournalActa Automatica Sinica
Volume31
Issue number2
Publication statusPublished - Mar 2005

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Keywords

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

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