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On Model Error Modeling in Set Membership Identification
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, The Institute of Technology.
University of Siena, Italy.
2000 (English)In: Proceedings of the 2000 IFAC Symposium on System Identification, 2000, 169-174 p.Conference paper, Published paper (Refereed)
Abstract [en]

A recent perspective on model error modeling is applied to set membership identification techniques in order to highlight the separation between unmodeled dynamics and noise. Model validation issues are also easily addressed in the proposed framework. The computation of the minimum noise bound for which a nominal model is not falsified by i/o data, can be used as a rationale for selecting an appropriate model class. Uncertainty is evaluated in terms of the frequency response, so that it can be handled by H control techniques.

Place, publisher, year, edition, pages
2000. 169-174 p.
Series
LiTH-ISY-R, ISSN 1400-3902 ; 2200
Keyword [en]
Identification for robust control, Set membership, Model error modeling, Unmodeled dynamics, Model validation
National Category
Engineering and Technology Control Engineering
Identifiers
URN: urn:nbn:se:liu:diva-91185ISBN: 978-0080435459 (print)OAI: oai:DiVA.org:liu-91185DiVA: diva2:617231
Conference
2000 IFAC Symposium on System Identification, Santa Barbara, CA, USA, 21-23 June 2000
Available from: 2013-04-22 Created: 2013-04-17 Last updated: 2015-02-24

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Related reporthttp://swepub.kb.se/bib/swepub:oai:DiVA.org:liu-55726?vw=full&tab2=abshttps://getinfo.de/app/On-Model-Error-Modeling-in-Set-Membership-Identification/id/BLCP%3ACN040014809
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Automatic ControlThe Institute of Technology
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CiteExportLink to record
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Cite
Citation style
  • apa
  • harvard1
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  • vancouver
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  • Other style
More styles
Language
  • de-DE
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  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
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Output format
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  • text
  • asciidoc
  • rtf