Please use this identifier to cite or link to this item: http://hdl.handle.net/1959.13/919667

OpenURL Link
Title
Estimation of generalised Hammerstein-Wiener systems
Author/Creator
Wills, Adrian;  Ninness, Brett
Institution
The University of Newcastle. Faculty of Engineering & Built Environment, School of Electrical Engineering and Computer Science
Description
This paper examines the use of a so-called "generalised Hammerstein-Wiener" model structure that is formed as the concatenation of an arbitrary number of Hammerstein systems. The latter are taken here to be memoryless non-linearities followed by linear time invariant dynamics. Hammerstein, Wiener, Hammerstein-Wiener and Wiener-Hammerstein models are all special cases of this structure. The parameter estimation of this model is investigated by using a standard prediction error criterion coupled with a robust gradient based search algorithm. This approach is profiled using the Wiener-Hammerstein system benchmark data, which illustrates it to be effective and, via Monte-Carlo simulation, relatively robust against capture in local minima.
Relation
15th IFAC Symposium on System Identification (SYSID 2009). Proceedings of the 15th IFAC Symposium on System Identification (Saint-Malo, France 6-8 July, 2009) p. 1104-1109
Publisher Link
http://dx.doi.org/10.3182/20090706-3-FR-2004.00183
Date
2009
Publisher
International Federation of Automatic Control (IFAC)
Keyword(s)
gradient-based search;  output-error;  Hammerstein;  Wiener;  black-box
Resource Type
conference paper
Identifier
http://hdl.handle.net/1959.13/919667
Identifier
ISBN:9783902661470
Identifier
ISSN:1474-6670
Reviewed
Reviewed
32 Visitors 33 Hits 0 Downloads
Save/E-mail Citation
Citation Format
E-mail Address
Subject
"Estimation of generalised Hammerstein-Wiener systems"
 
OR