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Improved Matrix Dilations for Robust Semidefinite Programming
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, The Institute of Technology.
2006 (English)Report (Other academic)
Abstract [en]

Simple improvements to an approach for robust semidefinite programming are proposed. The matrix dilation reformulation used as the core idea in a work by Oishi 2006 is improved in terms of computational complexity by applying standard sum-of-squares methods, and by introducing less conservative uncertainty dependent parameterizations of the dilation matrix.

Place, publisher, year, edition, pages
Linköping: Linköping University Electronic Press, 2006. , 7 p.
LiTH-ISY-R, ISSN 1400-3902 ; 2753
Keyword [en]
Optimization, Semidefinite programming, Robust control
National Category
Control Engineering
URN: urn:nbn:se:liu:diva-56106ISRN: LiTH-ISY-R-2753OAI: diva2:316826
Available from: 2010-04-30 Created: 2010-04-30 Last updated: 2014-09-03Bibliographically approved

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Löfberg, Johan
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Automatic ControlThe Institute of Technology
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ReferencesLink to record
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