期刊
INTERNATIONAL JOURNAL OF NUMERICAL MODELLING-ELECTRONIC NETWORKS DEVICES AND FIELDS
卷 24, 期 4, 页码 375-386出版社
WILEY
DOI: 10.1002/jnm.784
关键词
identification; transfer function; passivity; reduced-order modeling
资金
- European Commission [MTKI-CT-2006-042477]
- Research Foundation Flanders (FWO-Vlaanderen)
The paper presents a new algorithm for the identification of a positive real rational transfer matrix of a multi-input multi-output system from frequency domain data samples. It is based on the combination of least-squares pole identification by the Vector Fitting algorithm and residue identification based on frequency-independent passivity constraints by convex programming. Such an approach enables the identification of a priori guaranteed passive lumped models, so avoids the passivity check and subsequent (perturbative) passivity enforcement as required by most of the other available algorithms. As a case study, the algorithm is successfully applied to the macro-modeling of a twisted cable pair, and the results compared with a passive identification performed with an algorithm based on quadratic programming (QPpassive), highlighting the advantages of the proposed formulation. Copyright (C) 2010 John Wiley & Sons, Ltd.
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