Laguerre-SVD reduced-order modeling

Author

Knockaert, Luc ; De Zutter, Daniel

Author_Institution

INTEC-IMEC, Ghent, Belgium

Volume

48

Issue

9

fYear

2000

fDate

9/1/2000 12:00:00 AM

Firstpage

1469

Lastpage

1475

Abstract

A reduced-order modeling method based on a system description in terms of orthonormal Laguerre functions, together with a Krylov subspace decomposition technique is presented. The link with Pade approximation, the block Arnoldi process and singular value decomposition (SVD) leads to a simple and stable implementation of the algorithm. Novel features of the approach include the determination of the Laguerre parameter as a function of bandwidth and testing the accuracy of the results in terms of both amplitude and phase

Keywords

circuit simulation; coupled transmission lines; microwave circuits; reduced order systems; singular value decomposition; state-space methods; Krylov subspace decomposition technique; Laguerre-SVD reduced-order modeling; Pade approximation; bandwidth; block Arnoldi process; orthonormal Laguerre functions; singular value decomposition; system description; Approximation algorithms; Bandwidth; Distributed parameter circuits; Frequency; Integrated circuit interconnections; Matrix decomposition; Reduced order systems; Singular value decomposition; Symmetric matrices; Transmission line matrix methods;

fLanguage

English

Journal_Title

Microwave Theory and Techniques, IEEE Transactions on

Publisher

ieee

ISSN

0018-9480

Type

jour

DOI

10.1109/22.868996

Filename

868996