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On Model Error Modeling in Set Membership Identification
University of Siena, Italy.
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, The Institute of Technology.
1999 (English)Report (Other academic)
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
Linköping: Linköping University Electronic Press, 1999. , 12 p.
Series
LiTH-ISY-R, ISSN 1400-3902 ; 2200
Keyword [en]
identication for robust control, set membership, model error modeling, unmodeled dynamics, model validation.
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:liu:diva-55726ISRN: LiTH-ISY-R-2200OAI: oai:DiVA.org:liu-55726DiVA: diva2:316491
Available from: 2010-04-30 Created: 2010-04-30 Last updated: 2014-10-03Bibliographically approved

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Automatic ControlThe Institute of Technology
Control Engineering

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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