Estimation of an N-L-N Hammerstein-Wiener model

Y. Zhu

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

3 Citations (Scopus)

Abstract

Identification of SISO N-L-N Hammerstein-Wiener model is studied. First the model structure is motivated and disturbance model is discussed. Then the work is concentrated on parameter estimation. The original model is approximated using a simpler structure in which error is bilinear-in-parameters so that a relaxation scheme can be used. The relaxation algorithm will determine the input nonlinearity, a high order ARX linear model and the inverse of output nonlinearity. The original model is then obtained by order reduction on the linear model and by calculating the output nonlinearity from its inverse Simulation studies will be used to illustrate the method.
Original languageEnglish
Title of host publicationProceedings of the 15th Triennial World Congress of the International Federation of Automatic Control (IFAC202), 21-26 June 2002, Barcelona, Spain
Number of pages6
Publication statusPublished - 1 Jan 2002
Event15th World Congress of the International Federation of Automatic Control, 2002 - Barcelona, Spain
Duration: 21 Jul 200226 Jul 2002
Conference number: 15

Conference

Conference15th World Congress of the International Federation of Automatic Control, 2002
Abbreviated titleIFAC 2002
CountrySpain
CityBarcelona
Period21/07/0226/07/02

Keywords

  • Block-oriented model
  • Identification
  • Nonlinear process
  • Parameter estimation
  • Relaxation algorithm

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