A Quasi-Convex Optimization Approach to Parameterized Model Order Reduction
2008 (English)In: IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, ISSN 0278-0070, Vol. 27, no 3, 456-469 p.Article in journal (Refereed) Published
In this paper, an optimization-based model orderreduction (MOR) framework is proposed. The method involvessetting up a quasi-convex program that solves a relaxation of theoptimal H∞ norm MOR problem. The method can generate guaranteedstable and passive reduced models and is very flexible inimposing additional constraints such as exact matching of specificfrequency response samples. The proposed optimization-basedapproach is also extended to solve the parameterized modelreductionproblem (PMOR). The proposed method is compared to existing moment matching and optimization-basedMOR methodsin several examples. PMOR models for large RF inductors oversubstrate and power-distribution grid are also constructed.
Place, publisher, year, edition, pages
2008. Vol. 27, no 3, 456-469 p.
parameterized model order reduction (PMOR), quasi-convex optimization, RF inductor
Electrical Engineering, Electronic Engineering, Information Engineering
IdentifiersURN: urn:nbn:se:kth:diva-82423DOI: 10.1109/TCAD.2008.915544ISI: 000253840500005OAI: oai:DiVA.org:kth-82423DiVA: diva2:498224
QC 201202132012-02-112012-02-112012-02-13Bibliographically approved