Paper Info
Title
SAPOR: second-order Arnoldi method for passive order reduction of RCS circuits
Abstract
The recently-introduced susceptance element exhibits many prominent features in modeling the on-chip magnetic couplings. For an RCS circuit, it is better to be formulated as a second-order system. Therefore, corresponding MOR (model-order reduction) techniques for second-order systems are desired to efficiently deal with the ever-increasing circuit scale and to preserve essential model properties. We first review the existing MOR methods for RCS circuits, such as ENOR and SMOR, and discuss several key issues related to numerical stability and accuracy of the methods. Then, a technique, SAPOR (second-order Arnoldi method for passive order reduction), is proposed to effectively address these issues. Based on an implementation of a generalized second-order Arnoldi method, SAPOR is numerically stable and efficient. Meanwhile, the reduced-order system also guarantees passivity.
Year
DOI
Venue
2004
10.1109/ICCAD.2004.1382546
ICCAD
Keywords
Field
DocType
rcs circuits,integrated circuit interconnections,rcs circuit,reduced order systems,numerically stable,ever-increasing circuit scale,numerical stability,reduced-order system,generalized second-order arnoldi method,susceptance element,smor,second-order system,sapor,enor,model-order reduction,numerically efficient,on-chip magnetic couplings,corresponding mor,passive order reduction,second-order arnoldi method,existing mor method,circuit simulation,chip,second order,magnetic coupling
Passivity,Coupling,Computer science,Electronic engineering,Order reduction,Susceptance,Electronic circuit,Numerical stability
Conference
ISSN
ISBN
Citations 
1092-3152
0-7803-8702-3
14
PageRank 
References 
Authors
0.85
6
6
Name
Order
Citations
PageRank
Yangfeng Su123522.05
Jian Wang2140.85
Xuan Zeng3140.85
Zhaojun Bai4661107.69
Charles Chiang512912.13
Dian Zhou626056.14