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

Author

Beyene, Wendemagegnehu T. ; Schutt-Ainé, José E.

Author_Institution

Dept. of Electr. & Comput. Eng., Illinois Univ., Urbana, IL, USA

Volume

1

fYear

1996

fDate

18-21 Aug 1996

Firstpage

331

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

Keywords

Lyapunov matrix equations; VLSI; circuit analysis computing; frequency response; iterative methods; reduced order systems; Krylov subspace-based model-order reduction; Lyapunov equations; circuit simulation method; computational efficiency; distributed systems; frequency response approximations; large networks; low-order models; low-rank approximate solutions; reduced-order models; time response approximations; Circuit simulation; Computational modeling; Eigenvalues and eigenfunctions; Equations; Frequency; Inductors; Integrated circuit interconnections; Timing; Transmission line matrix methods; Voltage;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems, 1996., IEEE 39th Midwest symposium on

Conference_Location

Ames, IA

Print_ISBN

0-7803-3636-4

Type

conf

DOI

10.1109/MWSCAS.1996.594158

Filename

594158