NDLI: Robust and passive model order reduction for circuits containing susceptance elements

Content Provider	IEEE Xplore Digital Library
Author	Hui Zheng Pileggi, L.T.
Copyright Year	2002
Description	Author affiliation: Dept. of Electr. & Comput. Eng., Carnegie Mellon Univ., Pittsburgh, PA, USA (Hui Zheng; Pileggi, L.T.)
Abstract	Numerous approaches have been proposed to address the overwhelming modeling problems that result from the emergence of magnetic coupling as a dominant performance factor for ICs and packaging. Firstly, model order reduction (MOR) methods have been extended to robustly capture very high frequency behaviors for large RLC systems via methods such as PRIMA with guaranteed passivity. In addition, new models of the magnetic couplings in terms of susceptance (inverse of inductance) have shown great promise for robust sparsification of otherwise intractable inductance coupling-matrix problems. However, model order reduction via PRIMA for circuits that include susceptance elements does not guarantee passivity. Moreover, susceptance elements are incompatible with the path tracing algorithms that provide the fundamental runtime efficiency of RICE. In this paper, a novel MOR algorithm, SMOR, is proposed as an extension of ENOR which exploits the matrix properties of susceptance-based circuits for runtime efficiency, and provides for a numerically stable, provably passive MOR using a new orthonormalization strategy.
Sponsorship	IEEE Circuits & Syst. Soc. IEEE Comput. Soc. ACM/SIGDA
Starting Page	761
Ending Page	766
File Size	1625565
Page Count	6
File Format	PDF
ISBN	0780376072
ISSN	10923152
DOI	10.1109/ICCAD.2002.1167617
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2002-11-10
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Robustness RLC circuits Coupling circuits Inductance Magnetic susceptibility Runtime Integrated circuit interconnections Circuit simulation Sparse matrices Symmetric matrices
Content Type	Text
Resource Type	Article
Subject	Computer Graphics and Computer-Aided Design Computer Science Applications Software

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