Multi-step predictive control of a PDF-shaping problem

Hong Wang, Jin Fang Zhang, Hong Yue

    Research output: Contribution to journalArticlepeer-review


    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 pages5
    JournalZidonghua Xuebao/Acta Automatica Sinica
    Issue number2
    Publication statusPublished - Mar 2005


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


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