|
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
|
|
|
DOI
|
|
|
|
10.1002/JNM.784
|
|
|
Volume/pages
|
|
|
|
24
:4
(2011)
, p. 375-386
|
|
|
ISI
|
|
|
|
000292278400006
|
|
|
Full text (Publisher's DOI)
|
|
|
|
|
|