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Model Validation and Model Error Modeling
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, The Institute of Technology.
1999 (English)Report (Other academic)
Abstract [en]

To validate an estimated model and to have a good understanding of its reliability is a central aspect of System Identification. This contribution discusses these aspects in the light of model error models that are explicit descriptions of the model error. A model error model is implicitly present in most model validation methods, so the concept is more of a representation form than a set of new techniques. Traditional model validation is essentially a test of whether the confidence region of the model error model contains the zero model. However, the model error model allows a better visualization of the possible deficiencies of the nominal model. Based on such information, the nominal model may very well be accepted even if the model error model does not contain the zero model. Conversely, it will be illustrated that the model error model may give good reason - because of if its more precise infomation - to reject a nominal model, that has passed a conventional model validation test.

Place, publisher, year, edition, pages
Linköping: Linköping University Electronic Press, 1999. , 24 p.
Series
LiTH-ISY-R, ISSN 1400-3902 ; 2125
Keyword [en]
Model validation, Model error models
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:liu:diva-55695ISRN: LiTH-ISY-R-2125OAI: oai:DiVA.org:liu-55695DiVA: diva2:316456
Available from: 2010-04-30 Created: 2010-04-30 Last updated: 2014-09-08

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Ljung, Lennart

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CiteExportLink to record
Permanent link

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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