Recursive least squares algorithm and gradient algorithm for Hammerstein–Wiener systems using the data filtering

This paper considers the parameter estimation problems of Hammerstein–Wiener systems by using the data filtering technique. In order to improve the estimation accuracy, the data filtering-based recursive generalized extended least squares algorithm is derived. In order to improve the computational e...

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Bibliographic Details
Published in:	Nonlinear dynamics Vol. 84; no. 2; pp. 1045 - 1053
Main Authors:	Wang, Yanjiao, Ding, Feng
Format:	Journal Article
Language:	English
Published:	Dordrecht Springer Netherlands 01.04.2016 Springer Nature B.V
Subjects:	Algorithms Automotive Engineering Classical Mechanics Computational efficiency Computer simulation Computing time Control Dynamical Systems Economic models Engineering Estimating techniques Filtering Filtration Least squares Least squares method Mechanical Engineering Nonlinear dynamics Original Paper Parameter estimation Recursive System effectiveness Vibration Gradient search Parameter estimation Nonlinear system Least squares Data filtering
ISSN:	0924-090X, 1573-269X
Online Access:	Get full text
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