Design of auxiliary model and hierarchical normalized fractional adaptive algorithms for parameter estimation of bilinear‐in‐parameter systems

Summary This study investigates the parameter identification issues of bilinear‐in‐parameter systems through fractional adaptive algorithms. An auxiliary model based ε‐normalized$$ \varepsilon \hbox{-} \mathrm{normalized} $$ modified fractional least mean square algorithm is proposed for acceleratin...

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Bibliographic Details

Published in:	International journal of adaptive control and signal processing Vol. 36; no. 10; pp. 2562 - 2584
Main Authors:	Zhu, Yancheng, Wu, Huaiyu, Chen, Zhihuan, Chen, Yang, Zheng, Xiujuan
Format:	Journal Article
Language:	English
Published:	Hoboken, USA John Wiley & Sons, Inc 01.10.2022 Wiley Subscription Services, Inc
Subjects:	Accuracy Adaptive algorithms auxiliary model bilinear‐in‐parameter system fractional adaptive algorithms hierarchical identification Mathematical models Mean square values Parameter estimation Parameter identification
ISSN:	0890-6327, 1099-1115
Online Access:	Get full text
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