Efficient macromodeling for systems characterized by sampled data

Rong Gao, Yidnekachew S. Meknonen, Wendemagegnehu T. Beyene, José Schutt-Ainé

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper, a rational interpolation approach is used to approximate systems characterized by sampled data. The three most common orthogonal polynomials, Legendre, Chebyshev of the first and second kinds are used to improve the numerical stability of the interpolation matrix. The poles and the residues are solved in such a way that they are guaranteed to be either real or in complex conjugate pairs.

Original languageEnglish (US)
Title of host publication2005 IEEE/ACES International Conference on Wireless Communications and Applied Computational Electromagnetics
PublisherIEEE Computer Society
Pages565-568
Number of pages4
ISBN (Print)0780390687, 9780780390683
DOIs
StatePublished - 2005
Event2005 IEEE/ACES International Conference on Wireless Communications and Applied Computational Electromagnetics - Honolulu, HI, United States
Duration: Apr 3 2005Apr 7 2005

Publication series

Name2005 IEEE/ACES International Conference on Wireless Communications and Applied Computational Electromagnetics
Volume2005

Other

Other2005 IEEE/ACES International Conference on Wireless Communications and Applied Computational Electromagnetics
CountryUnited States
CityHonolulu, HI
Period4/3/054/7/05

Keywords

  • Orthogonal polynomials
  • Passivity
  • Rational approximation

ASJC Scopus subject areas

  • Engineering(all)

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