2015
DOI: 10.1016/j.epsr.2015.04.001
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Enhancing the accuracy of rational function-based models using optimization

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Cited by 11 publications
(6 citation statements)
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“…Using algebraic manipulation in (2) and 3to remove _ x n from the right side, the state equations and output equation in matrix form are…”
Section: Pole-zero Formmentioning
confidence: 99%
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“…Using algebraic manipulation in (2) and 3to remove _ x n from the right side, the state equations and output equation in matrix form are…”
Section: Pole-zero Formmentioning
confidence: 99%
“…For the time domain simulation, implementation of numerical convolutions is possible but is computationally inefficient. The frequency-dependent effects are usually performed in the frequency domain via complex-curve fitting processes, leading to rational function-based models which can be expressed in pole-zero form, pole-residue form, and polynomial form [2]. Once obtained, these models must be converted into a form suitable for representation in an electromagnetic Transient Program (EMTP-type) circuit simulator [3].…”
Section: Introductionmentioning
confidence: 99%
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“…It often has a large amount of computation and is difficult to converge and get stable solutions. This paper adopts a rational function approximation approach called vector-fitting [6,7] to construct the rational model which have advantages in lower computation, better stability over traditional numerical simulation. Model parameters can be computed through the poles and residues of VF method results.…”
Section: Introductionmentioning
confidence: 99%