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Applied Mathematical Modelling
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Applied Mathematical Modelling
Article . 2015 . Peer-reviewed
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Filtering based multi-innovation extended stochastic gradient algorithm for Hammerstein nonlinear system modeling

descriptionPublicationkeyboard_double_arrow_right Article 01 Sep 2015 English Publisher:Elsevier BVJournal:Applied Mathematical Modelling, volume 39, pages 5,724-5,732 (issn: 0307-904X, Copyright policy )
Authors: Wang, Ziyun; Wang, Yan; Ji, Zhicheng;

doi: 10.1016/j.apm.2013.06.016

Filtering based multi-innovation extended stochastic gradient algorithm for Hammerstein nonlinear system modeling

Abstract

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Keywords

gradient search, system modeling, Mathematical modeling or simulation for problems pertaining to systems and control theory, Stochastic learning and adaptive control, nonlinear system, filtering, parameter estimation

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
8
Top 10%
Average
Average
hybrid
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