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Suboptimal Model Reduction using LMIs with Convex Constraints
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, The Institute of Technology.
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, The Institute of Technology.
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, The Institute of Technology.
2006 (English)Report (Other academic)
Abstract [en]

An approach to model reduction of LTI systems using Linear Matrix Inequalities (LMIs) in an H-infinity framework is presented, where non-convex constraints are replaced with stricter convex constraints thus making it suboptimal. The presented algorithms are compared with the Optimal Hankel reduction algorithm, and are shown to achieve better results (i.elower H-infinity errors) in cases where some of the Hankel singular values are close, but not equal to each other.

Place, publisher, year, edition, pages
Linköping: Linköping University Electronic Press, 2006. , 10 p.
Series
LiTH-ISY-R, ISSN 1400-3902 ; 2759
Keyword [en]
Model reduction, Linear systems, LMIs
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:liu:diva-56111ISRN: LiTH-ISY-R-2759OAI: oai:DiVA.org:liu-56111DiVA: diva2:316818
Available from: 2010-04-30 Created: 2010-04-30 Last updated: 2014-06-26Bibliographically approved

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Ankelhed, DanielHelmersson, AndersHansson, Anders

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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