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Fuzzy Identification from a Grey Box Modeling Point of View
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, The Institute of Technology.
1996 (English)Report (Other academic)
Abstract [en]

The design of mathematical models of complex real-world (and typically nonlinear) systems is essential in many fields of science and engineering. The developed models can be used, e.g., to explain the behavior of the underlying system as well as for prediction and control purposes

Place, publisher, year, edition, pages
Linköping: Linköping University Electronic Press, 1996. , 35 p.
Series
LiTH-ISY-R, ISSN 1400-3902 ; 1914
Keyword [en]
System identification, Non-linear systems, Fuzzy modeling
Keyword [sv]
Cybernetik Informationsteori
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:liu:diva-55377ISRN: LITH-ISY-R-1914OAI: oai:DiVA.org:liu-55377DiVA: diva2:316004
Available from: 2010-04-29 Created: 2010-04-29 Last updated: 2014-09-16Bibliographically 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
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More styles
Language
  • de-DE
  • en-GB
  • en-US
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  • nn-NB
  • sv-SE
  • Other locale
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Output format
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