Model order reduction for nonlinear IC models with POD

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

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    Abstract

    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

    NameCASA-report
    Volume0921
    ISSN (Print)0926-4507

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  • Cite this

    Verhoeven, A., Striebel, M., & Maten, ter, E. J. W. (2009). Model order reduction for nonlinear IC models with POD. (CASA-report; Vol. 0921). Technische Universiteit Eindhoven.