Generalised Hammerstein-Wiener system estimation and a benchmark application

Title: Generalised Hammerstein-Wiener system estimation and a benchmark application
Creator: Wills, Adrian; Ninness, Brett
Relation: Control Engineering Practice Vol. 20, Issue 11, p. 1097-1108
Publisher Link: http://dx.doi.org/10.1016/j.conengprac.2012.03.011
Publisher: Pergamon
Resource Type: journal article
Date: 2012
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 using a standard prediction error criterion coupled with a robust gradient based search algorithm. This approach is profiled using a Wiener–Hammerstein Benchmark example, which illustrates it to be effective and, via Monte-Carlo simulation, relatively robust against capture in local minima.
Subject: gradient-based search; prediction error method; Hammerstein; Wiener; block oriented
Identifier: http://hdl.handle.net/1959.13/1306206
Identifier: uon:21166
Identifier: ISSN:0967-0661
Language: eng
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