Hierarchical gradient‐ and least‐squares‐based iterative estimation algorithms for input‐nonlinear output‐error systems from measurement information by using the over‐parameterization

This article investigates the parameter identification problems of the stochastic systems described by the input‐nonlinear output‐error (IN‐OE) model. This IN‐OE model consists of two submodels, one is an input nonlinear model and the other is a linear output‐error model. The difficulty in the param...

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Bibliographic Details

Published in:	International journal of robust and nonlinear control Vol. 34; no. 2; pp. 1120 - 1147
Main Authors:	Ding, Feng, Xu, Ling, Zhang, Xiao, Ma, Hao
Format:	Journal Article
Language:	English
Published:	Bognor Regis Wiley Subscription Services, Inc 25.01.2024
Subjects:	auxiliary model Error analysis hierarchical identification Iterative algorithms Iterative methods least squares Mathematical models nonlinear system over‐parameterization Parameter identification Parameterization Stochastic systems System effectiveness
ISSN:	1049-8923, 1099-1239
Online Access:	Get full text
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