Model order reduction for nonlinear IC models with POD

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

Research output: Book/ReportReportAcademic

186 Downloads (Pure)


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 problemunder consideration and cost for evaluating the full nonlinear system.
Original languageEnglish
Place of PublicationEindhoven
PublisherTechnische Universiteit Eindhoven
Number of pages8
Publication statusPublished - 2009

Publication series

ISSN (Print)0926-4507


Dive into the research topics of 'Model order reduction for nonlinear IC models with POD'. Together they form a unique fingerprint.

Cite this