Global sensitivity analysis of a feedback-controlled stochastic process model

Jouni Savolainen (Corresponding Author)

Research output: Contribution to journalArticleScientificpeer-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

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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

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title = "Global sensitivity analysis of a feedback-controlled stochastic process model",
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.",
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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 journalArticleScientificpeer-review

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AB - 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.

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KW - stochastic modelling

KW - dynamic simulation

KW - paper industry

KW - process design

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JO - Simulation Modelling Practice and Theory

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SN - 1569-190X

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