14th IFAC Symposium on System Identification, SYSID 2006

SYSID-2006 Paper Abstract


Paper ThB1.3

Schoukens, Johan (Vrije Univ. Brussel), Pintelon, Rik (Vrije Univ. Brussel), Paduart, Johan (Vrije Univ. Brussel), Vandersteen, Gerd (IMEC)

Nonparametric Initial Estimates for Wiener-Hammerstein Systems

Scheduled for presentation during the Invited Session "Nonlinear System Identification II" (ThB1), Thursday, March 30, 2006, 16:10−16:30, Concert Hall

14th IFAC Symposium on System Identification, March 29 - 31, 2006, Newcastle, Australia

This information is tentative and subject to change. Compiled on September 24, 2018

Keywords Nonlinear System Identification, Nonparametric Methods


This paper studies the generation of nonparametric initial estimates for Wiener-Hammerstein systems. The kernel idea is to replace the original structure by an alternative representation that is easier to identify in a two step procedure. In the first step, the best linear approximation is estimated, in the second step a structure of the form GfG^-1 is identified, where G is a linear dynamic system and f a static nonlinear system. By making a nonparametric approach it is possible to reduce the required user interaction, which strongly increases the user friendliness.