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

This paper considers parameter estimation problems of Hammerstein finite impulse response moving average (FIR-MA) systems. In order to provide highly accurate parameter estimates and improve the convergence rate, a data filtering based multi-innovation extended stochastic gradient algorithm is prese...

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Bibliographic Details

Published in:	Applied mathematical modelling Vol. 39; no. 18; pp. 5724 - 5732
Main Authors:	Wang, Ziyun, Wang, Yan, Ji, Zhicheng
Format:	Journal Article
Language:	English
Published:	Elsevier Inc 15.09.2015
Subjects:	Filtering Gradient search Nonlinear system Parameter estimation System modeling System modeling Gradient search Parameter estimation Filtering Nonlinear system
ISSN:	0307-904X
Online Access:	Get full text
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