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Estimation of Grey Box and Black Box Models for Non-Linear Circuit Data
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, The Institute of Technology.
IRISA, France.
NIRA Dynamics, Sweden.
INRIA, France.
2007 (English)Report (Other academic)
Abstract [en]

Identification of non-linear systems is a challenge, due to the richness of both model structures and estimation approaches. As a case study, in this paper we test a number of methods on a data set collected from an electrical circuit at the Free University of Brussels. These methods are based on black box and grey box model structures or on a mixture of them, which are all implemented in a forthcoming Matlab toolbox. The results of this case study illustrate the importance of the use of custom (user defined) regressors in a black box model. Based on physical knowledge or on insights gained through experience, such custom regressors allow to build efficient models with a relatively simple model structure. 

Place, publisher, year, edition, pages
Linköping: Linköping University Electronic Press, 2007. , 9 p.
Series
LiTH-ISY-R, ISSN 1400-3902 ; 2792
Keyword [en]
Identification
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:liu:diva-56058ISRN: LiTH-ISY-R-2792OAI: oai:DiVA.org:liu-56058DiVA: diva2:316882
Available from: 2010-04-30 Created: 2010-04-30 Last updated: 2014-09-02Bibliographically approved

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Ljung, Lennart

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • 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
  • html
  • text
  • asciidoc
  • rtf