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Utilizing Low Rank ...
Utilizing Low Rank Properties when Solving KYP-SDPs
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- Harju, Janne, 1980- (author)
- Linköpings universitet,Reglerteknik,Tekniska högskolan
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- Wallin, Ragnar, 1962- (author)
- Linköpings universitet,Reglerteknik,Tekniska högskolan
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- Hansson, Anders (author)
- Linköpings universitet,Reglerteknik,Tekniska högskolan
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(creator_code:org_t)
- Linköping : Linköping University Electronic Press, 2006
- 2006
- English.
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Series: LiTH-ISY-R, 1400-3902 ; 2734
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In: Proceedings of the 45th IEEE Conference on Decision and Control. - Linköping : Linköping University Electronic Press. - 1424401712 ; , s. 5150-5155
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Abstract
Subject headings
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- Semidefinite programs and especially those derived from the Kalman-Yakubovich-Popov lemma are quite common in control applications. KYPD is a dedicated solver for KYP-SDPs. It solves the optimization problem via the dual SDP. The solver is iterative. In each step a Hessian is formed and a linear system of equations is solved. The calculations can be performed much faster if we utilize sparsity and low rank structure. We show how to transform a dense optimization problem into a sparse one with low rank structure. A customized calculation of the Hessian is presented and investigated.
Subject headings
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Reglerteknik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Control Engineering (hsv//eng)
Keyword
- Semidefinite programming
- Kalman-Yakubovich-Popov lemma
- Low rank
- TECHNOLOGY
- TEKNIKVETENSKAP
- Automatic control
Publication and Content Type
- ref (subject category)
- kon (subject category)
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