Model order reduction for nonlinear IC models with POD

A. Verhoeven, M. Striebel, E.J.W. Maten, ter

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Samenvatting

Due to refined modelling of semiconductor devices and increasing packing densities, reduced order modelling of large nonlinear systems is of great importance in the design of integrated circuits (ICs). Despite the linear case, methodologies for nonlinear problems are only beginning to develop. The most practical approaches rely either on linearisation, making techniques from linear model order reduction applicable, or on proper orthogonal decomposition (POD), preserving the nonlinear characteristic. In this paper we focus on POD. We demonstrate the missing point estimation and propose a new adaption of POD to reduce both dimension of the problem under consideration and cost for evaluating the full nonlinear system.
Originele taal-2Engels
TitelScientific Computing in Electrical Engineering SCEE 2008
RedacteurenJ. Roos, L.R.J. Costa
Plaats van productieBerlin
UitgeverijSpringer
Pagina's571-578
ISBN van geprinte versie978-3-642-12293-4
DOI's
StatusGepubliceerd - 2010

Publicatie series

NaamMathematics in Industry
Volume14
ISSN van geprinte versie1612-3956

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