Global sensitivity analysis of a feedback-controlled stochastic process model

Jouni Savolainen

doi:10.1016/j.simpat.2013.04.003

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 language	English
Pages (from-to)	1-10
Number of pages	10
Journal	Simulation Modelling Practice and Theory
Volume	36
DOIs	https://doi.org/10.1016/j.simpat.2013.04.003
Publication status	Published - 2013
MoE publication type	A1 Journal article-refereed

Keywords

global sensitivity analysis
stochastic modelling
dynamic simulation
paper industry
process design

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

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