Decoupling the linear and nonlinear parts in Hammerstein model identification

Er-Wei Bai

doi:10.1016/j.automatica.2003.11.007

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Decoupling the linear and nonlinear parts in Hammerstein model identification

Journal article

Peer reviewed

Decoupling the linear and nonlinear parts in Hammerstein model identification

Er-Wei Bai

Automatica (Oxford), Vol.40(4), pp.671-676

2004

DOI: 10.1016/j.automatica.2003.11.007

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Abstract

The main result of this paper is to show that the linear part can be made decoupled from the nonlinear part in Hammerstein model identification. Therefore, identification of the linear part for a Hammerstein model becomes a linear problem and accordingly enjoys the same convergence and consistency results as if the unknown nonlinearity is absent.

Parameter estimation

System identification

PRBS signals

Nonlinear systems

Hammerstein systems

Details

Title: Subtitle: Decoupling the linear and nonlinear parts in Hammerstein 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.40(4), pp.671-676
Publisher: Elsevier Ltd
DOI: 10.1016/j.automatica.2003.11.007
ISSN: 0005-1098
eISSN: 1873-2836
Language: English
Date published: 2004
Academic Unit: Electrical and Computer Engineering
Record Identifier: 9984083855202771

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