Numerical validation of a procedure for direct identification of passive linear multiport with convex programming

  • Andrea G. Chiariello
  • , Massimiliano De Magistris
  • , Luciano De Tommasi
  • , Dirk Deschrijver
  • , Tom Dhaene

Research output: Chapter in Book/Report/Conference proceedingsChapterpeer-review

Abstract

The paper deals with the numerical validation, performance evaluation and robustness assessment of a procedure for the direct identification of passive transfer matrices based on convex programming. Validation is pursued by producing data sets from lumped multiport systems with random parameters (passive, non passive, and possibly affected by random noise), then evaluating the identification ability of the considered method. Results demonstrate how the considered approach satisfactorily covers the passive identification of a large class of data sets, even in presence of significant passivity violations or noise flawed data, at average accuracies comparable with non passive identifications obtained with standard Vector Fitting.

Original languageEnglish
Title of host publication2010 IEEE 14th Workshop on Signal Propagation on Interconnects, SPI 2010 - Proceedings
Pages141-144
Number of pages4
DOIs
Publication statusPublished - 2010
Externally publishedYes
Event2010 IEEE 14th Workshop on Signal Propagation on Interconnects, SPI 2010 - Hildesheim, Germany
Duration: 9 May 201012 May 2010

Publication series

Name2010 IEEE 14th Workshop on Signal Propagation on Interconnects, SPI 2010 - Proceedings

Conference

Conference2010 IEEE 14th Workshop on Signal Propagation on Interconnects, SPI 2010
Country/TerritoryGermany
CityHildesheim
Period9/05/1012/05/10

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