Publication
Title
An algorithm for direct identification of passive transfer matrices with positive real fractions via convex programming
Author
Abstract
The paper presents a new algorithm for the identification of a positive real rational transfer matrix of a multi-inputmulti-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
Language
English
Source (journal)
International journal of numerical modelling: electronic networks, devices and fields. - Chichester
Publication
Chichester : 2011
ISSN
0894-3370
Volume/pages
24:4(2011), p. 375-386
ISI
000292278400006
Full text (Publisher's DOI)
UAntwerpen
Faculty/Department
Research group
Publication type
Subject
Affiliation
Publications with a UAntwerp address
External links
Web of Science
Record
Identification
Creation 30.08.2011
Last edited 25.06.2017
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