Model-reduction of nonlinear circuits using Krylov-space techniques

Author

Gunupudi, Pavan K. ; Nakhia, M.S.

Author_Institution

Dept. of Electron., Carleton Univ., Ottawa, Ont., Canada

fYear

1999

fDate

1999

Firstpage

13

Lastpage

16

Abstract

A new algorithm based on Krylov subspace methods is proposed for model-reduction of large nonlinear circuits. Reduction is obtained by projecting the original system described by nonlinear differential equations into a subspace of a lower dimension. The reduced model can be simulated using conventional numerical integration techniques. Significant reduction in computational expense is achieved as the size of the reduced equations is much less than that of the original system

Keywords

circuit simulation; computational complexity; lumped parameter networks; nonlinear differential equations; nonlinear network analysis; numerical analysis; reduced order systems; Krylov subspace methods; Krylov-space techniques; computational expense; large nonlinear circuits; lumped network; model-reduction; nonlinear circuits; nonlinear differential equations; numerical integration; simulation; Central Processing Unit; Circuit simulation; Computational modeling; Inductors; Nonlinear circuits; Nonlinear equations; Numerical simulation; Permission; Time domain analysis; Voltage;

fLanguage

English

Publisher

ieee

Conference_Titel

Design Automation Conference, 1999. Proceedings. 36th

Conference_Location

New Orleans, LA

Print_ISBN

1-58113-092-9

Type

conf

DOI

10.1109/DAC.1999.781222

Filename

781222