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13 - Electrical and Electronic Engineering, Metallurgy and Materials

Queen's University Belfast

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Article title

Convergence of the iterative algorithm for a general Hammerstein system identification

Type

D - Journal article

DOI

10.1016/j.automatica.2010.07.007

Title of journal

Automatica

Article number

Volume number

Issue number

First page of article

1891

ISSN of journal

0005-1098

Year of publication

2010

URL

http://www.scopus.com/inward/record.url?partnerID=yv4JPVwI&eid=2-s2.0-78049277587&md5=0f644465bdb09db7355213951dd5377b

Number of additional authors

Additional information

Convergence is always a hard issue for Hammerstein system identification that has eluded researchers for a long time. In this paper, convergence results are derived under a very general setting resulting in major performance enhancement. This permits a much broader variety of non-linear system identification issues to be addressed tahn was previously possible.

Interdisciplinary

Cross-referral requested

Research group

C - Energy, Power and Intelligent Control (EPIC)

Proposed double-weighted

Double-weighted statement

Reserve for a double-weighted output

Non-English

English abstract