By Topic

Multiorder Arnoldi Approach for Model Order Reduction of PEEC Models With Retardation

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Rasekh, E. ; ANSYS Inc., Burlington, MA, USA ; Dounavis, A.

This paper presents an efficient algorithm to create reduced-order models of large linear networks that contain delay elements. The proposed algorithm is based on a multiorder Arnoldi algorithm used to implicitly calculate the moments with respect to frequency. This procedure generates reduced-order models that preserve the structure of the original system, without having to introduce any extra state variables to calculate the moments. In addition, it is shown that the orthonormal subspace of the system, built by introducing extra state variables, is embedded in the subspace constructed by the multiorder Arnoldi approach. Numerical examples of distributed interconnects modeled by partial element equivalent circuits that include retardation effects are described to illustrate the validity of the proposed reduction technique.

Published in:

Components, Packaging and Manufacturing Technology, IEEE Transactions on  (Volume:2 ,  Issue: 10 )