2001
DOI: 10.1109/22.954772
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A general class of passive macromodels for lossy multiconductor transmission lines

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Cited by 117 publications
(73 citation statements)
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“…The unknown parameters i y , i ϑ can be determined from the minimization of error (8). It can be shown that the most appropriate norm is based on a Padé-Chebyshev approximant [16], which is equivalent to setting the following moments equal to zero: (15) for m=0, … , 2k-2n-1.…”
Section: Construnction Of Optimal Gridmentioning
confidence: 99%
See 1 more Smart Citation
“…The unknown parameters i y , i ϑ can be determined from the minimization of error (8). It can be shown that the most appropriate norm is based on a Padé-Chebyshev approximant [16], which is equivalent to setting the following moments equal to zero: (15) for m=0, … , 2k-2n-1.…”
Section: Construnction Of Optimal Gridmentioning
confidence: 99%
“…The first class explores the application of model order reduction techniques, based on Padé approximations, using either asymptotic waveform evaluation (AWE) or Krylov subspace techniques, together with the state-space formulation of the solution of the transmission line system to develop reduced-order multiport macromodels of the MTLs (e.g., [5], [8]- [10]). The development of such macromodels is complicated by the requirement of ensuring the passivity of the generated multi-port macromodels.…”
Section: Introductionmentioning
confidence: 99%
“…It combines the merits of both the Method of Characteristics (MoC) [2] and the Matrix Rational Approximation (MRA) [3] algorithms, and is based on delay extraction prior to performing the MRA. The delay effects are represented by lossless transmission lines instead of lumped circuits.…”
Section: Introductionmentioning
confidence: 99%
“…But, as the frequency of operation increases, the conventional lumped models become inadequate. The method will lead to large circuit matrices and the simulation becomes inefficient [8,9,10]. Macromodeling of the transmission line is an efficient technique to solve these problems.…”
Section: Introductionmentioning
confidence: 99%