Global sensitivity analysis of a feedback-controlled stochastic process model

Jouni Savolainen (Corresponding Author)

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

    3 Citations (Scopus)

    Abstract

    The purpose of the study was to investigate whether global sensitivity analysis can be utilised in concurrent process and control design to gain insight into the process and its control. This paper addresses the issue of sensitivity of a control law performance to its parameters in a dynamic, hybrid deterministic–stochastic process model. The control law under investigation is a collection of single-input, single-output type tower level controllers in a papermaking process. Global sensitivity analysis is shown to attribute higher importance to certain key parameters, thus providing valuable insight for the designer.
    Original languageEnglish
    Pages (from-to)1-10
    Number of pages10
    JournalSimulation Modelling Practice and Theory
    Volume36
    DOIs
    Publication statusPublished - 2013
    MoE publication typeA1 Journal article-refereed

    Fingerprint

    Global Analysis
    Random processes
    Process Model
    Sensitivity analysis
    Stochastic Model
    Sensitivity Analysis
    Stochastic Processes
    Feedback
    Process Design
    Hybrid Model
    Control Design
    Papermaking
    Concurrent
    Attribute
    Towers
    Controller
    Output
    Controllers

    Keywords

    • global sensitivity analysis
    • stochastic modelling
    • dynamic simulation
    • paper industry
    • process design

    Cite this

    Savolainen, Jouni. / Global sensitivity analysis of a feedback-controlled stochastic process model. In: Simulation Modelling Practice and Theory. 2013 ; Vol. 36. pp. 1-10.
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    Savolainen, J 2013, 'Global sensitivity analysis of a feedback-controlled stochastic process model', Simulation Modelling Practice and Theory, vol. 36, pp. 1-10. https://doi.org/10.1016/j.simpat.2013.04.003

    Global sensitivity analysis of a feedback-controlled stochastic process model. / Savolainen, Jouni (Corresponding Author).

    In: Simulation Modelling Practice and Theory, Vol. 36, 2013, p. 1-10.

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

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    KW - dynamic simulation

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    KW - process design

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    Savolainen J. Global sensitivity analysis of a feedback-controlled stochastic process model. Simulation Modelling Practice and Theory. 2013;36:1-10. https://doi.org/10.1016/j.simpat.2013.04.003

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