A blind approach to the Hammerstein–Wiener model identification

Er-Wei Bai

doi:10.1016/S0005-1098(01)00292-8

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A blind approach to the Hammerstein–Wiener model identification

Journal article

Peer reviewed

A blind approach to the Hammerstein–Wiener model identification

Er-Wei Bai

Automatica (Oxford), Vol.38(6), pp.967-979

2002

DOI: 10.1016/S0005-1098(01)00292-8

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Abstract

In this paper, we propose a blind approach to the sampled Hammerstein–Wiener model identification. By using the blind approach, it is shown that all internal variables can be recovered solely based on the output measurements. Then, identification of linear and nonlinear parts can be carried out. No a priori structural knowledge about the input nonlinearity is assumed and no white noise assumption is imposed on the input.

Parameter estimation

System identification

Hammerstein–Wiener systems

Nonlinear systems

Hammerstein systems

Wiener systems

Details

Title: Subtitle: A blind approach to the Hammerstein–Wiener model identification
Creators: Er-Wei Bai - Department of Electrical and Computer Engineering, University of Iowa, Iowa City, IA 52242, USA
Resource Type: Journal article
Publication Details: Automatica (Oxford), Vol.38(6), pp.967-979
Publisher: Elsevier Ltd
DOI: 10.1016/S0005-1098(01)00292-8
ISSN: 0005-1098
eISSN: 1873-2836
Language: English
Date published: 2002
Academic Unit: Electrical and Computer Engineering
Record Identifier: 9984083818202771

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