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A Comparison Between Semi-Physical and Black-Box Neural Net Modeling: A Case Study
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, The Institute of Technology.
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, The Institute of Technology.
1995 (English)Report (Other academic)
Abstract [en]

This paper considers identification of a solar-heated house. Using prior physical knowledge and a semi-physical modeling procedure, a set of physically motivated regressors are determined. With these as inputs a reasonable neural network model of the plant is estimated

Place, publisher, year, edition, pages
Linköping: Linköping University , 1995. , 4 p.
Series
LiTH-ISY-R, ISSN 1400-3902 ; 1741
Keyword [en]
System identification, Neural networks, Semi-physical modeling
Keyword [sv]
Cybernetik Informationsteori
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:liu:diva-55253ISRN: LITH-ISY-R-1741OAI: oai:DiVA.org:liu-55253DiVA: diva2:315884
Available from: 2010-04-29 Created: 2010-04-29 Last updated: 2014-09-19Bibliographically approved

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Automatic ControlThe Institute of Technology
Control Engineering

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
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  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
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  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
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Output format
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