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Model Error Concepts in Identification for Control
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, The Institute of Technology.
University of Siena, Italy.
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, The Institute of Technology.
National University of Quilmes, Argentina.
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1999 (English)Report (Other academic)
Abstract [en]

We examine some recent methods for System Identication, that also deliver non-parametric error bounds, suited for a robust controller design. In particular, we look at Stochastic Embed-ding, Set Membership Identication and Model Error Modelling. We briefly review the main ideas together with existing computational solutions and present a comparative example.

Place, publisher, year, edition, pages
Linköping: Linköping University Electronic Press, 1999. , 12 p.
Series
LiTH-ISY-R, ISSN 1400-3902 ; 2188
Keyword [en]
Identication for Robust Control, Stochastic Embedding, Set Membership Identication, Model Error Modelling
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:liu:diva-55724ISRN: LiTH-ISY-R-2188OAI: oai:DiVA.org:liu-55724DiVA: diva2:316489
Available from: 2010-04-30 Created: 2010-04-30 Last updated: 2014-10-03Bibliographically approved

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Ljung, Lennart

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CiteExportLink to record
Permanent link

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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