Block oriented nonlinear models capture the dynamics of a nonlinear system with linear dynamic sub-systems (L), the nonlinear behavior is modeled using static nonlinear sub-blocks (N). In this paper we focus on three important theoretical and practical challenges that need to be addressed when the class of systems is generalized from the simple but very popular Wiener, Hammerstein, Hammerstein-Wiener or Wiener-Hammerstein systems to more complex nonlinear systems, including nonlinear feedback loops: 1) Dealing with complex block-oriented models: initial (structure revealing) tests; 2) Testing of candidate semi-physical block-oriented models; and 3) Approximating continuous time nonlinear systems by a discrete time recursive model. Experimental illustrations and verifications are shown.
Original languageEnglish
Title of host publication17th IFAC Symposium on System Identification (SYSID 2015), Beijing, China, October 19-21, 2015
PublisherElsevier
Pages596-601
DOIs
Publication statusPublished - 19 Oct 2015
Event17th IFAC Symposium on System Identification (SYSID 2015) - Beijing, China
Duration: 19 Oct 201521 Oct 2015

Publication series

NameIFAC-PapersOnline
PublisherElsevier
Number28
Volume48
ISSN (Electronic)2405-8963

Conference

Conference17th IFAC Symposium on System Identification (SYSID 2015)
CountryChina
CityBeijing
Period19/10/1521/10/15

    Research areas

  • block oriented nonlinear system, Wiener-Hammerstein model, system identification

ID: 13676151