A BLIND APPROACH TO THE HAMMERSTEIN-WIENER MODEL IDENTIFICATION

Er-Wei Bai

doi:10.3182/20020721-6-ES-1901.00419

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A BLIND APPROACH TO THE HAMMERSTEIN-WIENER MODEL IDENTIFICATION

Journal article

Open access

Peer reviewed

A BLIND APPROACH TO THE HAMMERSTEIN-WIENER MODEL IDENTIFICATION

Er-Wei Bai

IFAC Proceedings Volumes, Vol.35(1), pp.49-54

2002

DOI: 10.3182/20020721-6-ES-1901.00419

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https://doi.org/10.3182/20020721-6-ES-1901.00419View

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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.

Hammerstein system

nonlinear systems

parameterestimation

system identification

Wiener system

Details

Title: Subtitle: A BLIND APPROACH TO THE HAMMERSTEIN-WIENER MODEL IDENTIFICATION
Creators: Er-Wei Bai - University of Iowa
Resource Type: Journal article
Publication Details: IFAC Proceedings Volumes, Vol.35(1), pp.49-54
DOI: 10.3182/20020721-6-ES-1901.00419
ISSN: 1474-6670
Language: English
Date published: 2002
Academic Unit: Electrical and Computer Engineering
Record Identifier: 9984197338902771

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