Auxiliary model‐based recursive least squares algorithm for two‐input single‐output Hammerstein output‐error moving average systems by using the hierarchical identification principle

This article considers the parameter estimation problems of two‐input single‐output Hammerstein output‐error moving average systems. The system is decomposed into two subsystems based on the hierarchical principle. The first model is used to identify the linear parameters and the parameters of the u...

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Bibliographic Details

Published in:	International journal of robust and nonlinear control Vol. 32; no. 13; pp. 7575 - 7593
Main Authors:	Liu, Jian, Ji, Yan
Format:	Journal Article
Language:	English
Published:	Bognor Regis Wiley Subscription Services, Inc 10.09.2022
Subjects:	Algorithms auxiliary model Least squares Mathematical models Model accuracy multi‐innovation identification theory nonlinear system Parameter estimation Parameter identification Principles recursive identification Subsystems
ISSN:	1049-8923, 1099-1239
Online Access:	Get full text
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