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Ensuring Certain Physical Properties in Black Box Models by Applying Fuzzy Techniques
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.
1997 (English)Report (Other academic)
Abstract [en]

We consider the situation where a nonlinear physical system is identified from input-output data. In case no specific physical structural knowledge about the system is available, parameterized grey box models cannot be used. Identification in black-box-type of model structures is then the only alternative, and general approaches like neural nets, neuro-fuzzy models, etc., have to be applied.However, certain non-structural knowledge about the system is sometimes available. It could be known, e.g., that the step response is monotonic, or that the steady-state gain curve is monotonic. The question is then how to utilize and maintain such knowledge in a black box framework.In this paper we show how to incorporate this type of prios information in an otherwise black box environment, by applying a specific fuzzy model structure, with strict parametric constraints. The usefulness of the apporach is illustrated by experiments on real-world data.

Place, publisher, year, edition, pages
Linköping: Linköping University Electronic Press, 1997. , 8 p.
Series
LiTH-ISY-R, ISSN 1400-3902 ; 1942
Keyword [en]
Fuzzy modeling and identication, nonlinear systems, monotonicity
Keyword [sv]
Cybernetik och informationsteori
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:liu:diva-55385ISRN: LITH-ISY-R-1942OAI: oai:DiVA.org:liu-55385DiVA: diva2:315997
Available from: 2010-04-29 Created: 2010-04-29 Last updated: 2014-09-16Bibliographically approved

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Ljung, Lennart

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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
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
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  • asciidoc
  • rtf