Passivity Enforcement of Transfer Functions

Tom D'Haene, Rik Pintelon

Research output: Contribution to journalArticle

12 Citations (Scopus)

Abstract

Passivity of an identified model is crucial in simulation and prediction applications. This paper proposes a two-step procedure that generates guaranteed passive transfer function models from noisy data. It consists of an unconstrained optimal noise removal step, followed by passivity enforcement of the unconstrained model.
Original languageEnglish
Pages (from-to)2181-2187
Number of pages7
JournalIEEE Transactions on Instrumentation and Measurement
Volume57
Publication statusPublished - 1 Oct 2008

Keywords

  • Constrained optimization
  • passive models
  • passivity
  • positive real functions
  • system identification

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