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A Quasi-Convex Optimization Approach to Parameterized Model Order Reduction
Electrical Engineering and Computer Science, Massachusetts Institute of Technology.
Electrical Engineering and Computer Science, Massachusetts Institute of Technology.
Electrical Engineering and Computer Science, Massachusetts Institute of Technology.
2005 (English)In: 42nd Design Automation Conference, Proceedings 2005, 2005, 933-938 p.Conference paper, Published paper (Refereed)
Abstract [en]

In this paper an optimization based model order reduction (MOR) framework is proposed. The method involves setting up a quasiconvexprogram that explicitly minimizes a relaxation of the optimal H∞ norn MOR problem. The method generates guaranteedstable and passive reduced models and it is very flexible in imposingadditional constraints. The proposed optimization approach isalso extended to parameterized model reduction problem (PMOR).The proposed method is compared to existing moment matchingand optimization based MOR methods in several examples. APMOR model for a large RF inductor is also constructed.

Place, publisher, year, edition, pages
2005. 933-938 p.
Series
DESIGN AUTOMATION CONFERENCE, ISSN 0738-100X
Keyword [en]
parameterized model order reduction, quasi-convex optimization, ellipsoid algorithm, RF inductor
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:kth:diva-82420ISI: 000230430300189OAI: oai:DiVA.org:kth-82420DiVA: diva2:498220
Conference
42nd Design Automation Conference. Anaheim, CA. JUN 13-17, 2005
Note
QC 20120228Available from: 2012-02-11 Created: 2012-02-11 Last updated: 2012-02-28Bibliographically approved

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