Abstract
| Original language | English |
|---|---|
| Pages (from-to) | 1-10 |
| Number of pages | 10 |
| Journal | Simulation Modelling Practice and Theory |
| Volume | 36 |
| DOIs | |
| Publication status | Published - 2013 |
| MoE publication type | A1 Journal article-refereed |
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Keywords
- global sensitivity analysis
- stochastic modelling
- dynamic simulation
- paper industry
- process design
Cite this
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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 journal › Article › Scientific › peer-review
TY - JOUR
T1 - Global sensitivity analysis of a feedback-controlled stochastic process model
AU - Savolainen, Jouni
N1 - Project code: 77613
PY - 2013
Y1 - 2013
N2 - 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.
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.
KW - global sensitivity analysis
KW - stochastic modelling
KW - dynamic simulation
KW - paper industry
KW - process design
U2 - 10.1016/j.simpat.2013.04.003
DO - 10.1016/j.simpat.2013.04.003
M3 - Article
VL - 36
SP - 1
EP - 10
JO - Simulation Modelling Practice and Theory
JF - Simulation Modelling Practice and Theory
SN - 1569-190X
ER -