Krylov subspace-based model-order reduction techniques for circuit simulations

Wendemagegnehu T. Beyene, Jose E Schutt-Aine

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper presents a circuit simulation method using Krylov subspace-based model-order reduction techniques. The method generates reduced-order models of large networks without explicitly calculating the moments. Low-rank approximate solutions of Lyapunov equations are used to obtain low-order models of distributed systems. These reduced-order models can be used for time and frequency response approximations of large networks. Illustrative examples are also given to study the computational efficiency and accuracy of the method.

Original languageEnglish (US)
Title of host publicationMidwest Symposium on Circuits and Systems
EditorsG. Cameron, M. Hassoun, A. Jerdee, C. Melvin
PublisherIEEE
Pages331-334
Number of pages4
Volume1
StatePublished - 1996
EventProceedings of the 1996 IEEE 39th Midwest Symposium on Circuits & Systems. Part 3 (of 3) - Ames, IA, USA
Duration: Aug 18 1996Aug 21 1996

Other

OtherProceedings of the 1996 IEEE 39th Midwest Symposium on Circuits & Systems. Part 3 (of 3)
CityAmes, IA, USA
Period8/18/968/21/96

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Electrical and Electronic Engineering

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  • Cite this

    Beyene, W. T., & Schutt-Aine, J. E. (1996). Krylov subspace-based model-order reduction techniques for circuit simulations. In G. Cameron, M. Hassoun, A. Jerdee, & C. Melvin (Eds.), Midwest Symposium on Circuits and Systems (Vol. 1, pp. 331-334). IEEE.