Convergence of the iterative algorithm for a general Hammerstein system identification

Er-Wei Bai; Kang Li

doi:10.1016/j.automatica.2010.07.007

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Convergence of the iterative algorithm for a general Hammerstein system identification

Journal article

Peer reviewed

Convergence of the iterative algorithm for a general Hammerstein system identification

Er-Wei Bai and Kang Li

Automatica (Oxford), Vol.46(11), pp.1891-1896

2010

DOI: 10.1016/j.automatica.2010.07.007

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Abstract

The convergence of the iterative identification algorithm for a general Hammerstein system has been an open problem for a long time. In this paper, it is shown that the convergence can be achieved by incorporating a regularization procedure on the nonlinearity in addition to a normalization step on the parameters.

Recursive algorithm

Hammerstein systems

System identification

Details

Title: Subtitle: Convergence of the iterative algorithm for a general Hammerstein system identification
Creators: Er-Wei Bai - Department of Electrical and Computer Engineering, University of Iowa, Iowa City, IA 52242, United States
Kang Li - School of Electronics, Electrical Engineering and Computer Science Queen’s University, Belfast, BT9 5AH, UK
Resource Type: Journal article
Publication Details: Automatica (Oxford), Vol.46(11), pp.1891-1896
Publisher: Elsevier Ltd
DOI: 10.1016/j.automatica.2010.07.007
ISSN: 0005-1098
eISSN: 1873-2836
Grant note: ECS-0555394 / NSF
Language: English
Date published: 2010
Academic Unit: Electrical and Computer Engineering
Record Identifier: 9984083824002771

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