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A Decomposition Approach for Solving KYP-SDPs
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.
2004 (English)Report (Other academic)
Abstract [en]

Semidefinite programs originating from the Kalman-Yakubovich-Popov lemma are convex optimization problems and there exist polynomial time algorithms that solve them. However, the number of variables is often very large making the computational time extremely long. Algorithms more efficient than general purpose solvers are thus needed. In this paper a generalized Benders decomposition algorithm is applied to the problem to improve efficiency.

Place, publisher, year, edition, pages
Linköping: Linköping University Electronic Press, 2004. , 15 p.
Series
LiTH-ISY-R, ISSN 1400-3902 ; 2621
Keyword [en]
Semidenite programming, Kalman-Yakubovich-Popov lemma, Benders decomposition
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:liu:diva-55992ISRN: LiTH-ISY-R-2621OAI: oai:DiVA.org:liu-55992DiVA: diva2:316741
Available from: 2010-04-30 Created: 2010-04-30 Last updated: 2014-10-02Bibliographically approved

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Wallin, RagnarHansson, AndersGillberg, Jonas

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
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  • 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
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  • asciidoc
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