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Utilizing Low Rank Properties when Solving KYP-SDPs

Harju, Janne, 1980- (author)
Linköpings universitet,Reglerteknik,Tekniska högskolan
Wallin, Ragnar, 1962- (author)
Linköpings universitet,Reglerteknik,Tekniska högskolan
Hansson, Anders (author)
Linköpings universitet,Reglerteknik,Tekniska högskolan
 (creator_code:org_t)
Linköping : Linköping University Electronic Press, 2006
2006
English.
Series: LiTH-ISY-R, 1400-3902 ; 2734
In: Proceedings of the 45th IEEE Conference on Decision and Control. - Linköping : Linköping University Electronic Press. - 1424401712 ; , s. 5150-5155
  • Conference paper (peer-reviewed)
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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