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Grey Box Modelling – Branches and Experiences
Dalarna University, School of Technology and Business Studies, Electrical Engineering.
2008 (English)In: IFAC World Conference / [ed] Sohlberg, Björn, Seoul, South Korea, 2008Conference paper, Published paper (Other academic) Published
Abstract [en]

This paper deals with methods and experiences of incorporating a priori knowledge into mathematical models of industrial processes and systems. Grey box modelling has been developed in several directions and can be grouped into branches depending on the way a priori knowledge is handled. In this paper we divide the groups into the following branches; constrained black box identification, semi-physical modelling, mechanistic modelling and hybrid modelling. Experiences from case studies demonstrate the different branches of grey box modelling procedures. In the applications, the grey box models have been used for model based control, soft sensors, process supervision and failure detection

Place, publisher, year, edition, pages
Seoul, South Korea, 2008.
Keywords [en]
Grey box modelling, Identification, Nonlinear models, industrial processes.
Identifiers
URN: urn:nbn:se:du-2653OAI: oai:dalea.du.se:2653DiVA, id: diva2:521705
Conference
IFAC World Conference , Seoul, South Korea, July 06-11, 2008
Available from: 2007-04-04 Created: 2007-04-04 Last updated: 2012-04-24Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
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