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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Vydané v:	International journal of adaptive control and signal processing Ročník 36; číslo 10; s. 2562 - 2584
Hlavní autori:	Zhu, Yancheng, Wu, Huaiyu, Chen, Zhihuan, Chen, Yang, Zheng, Xiujuan
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Hoboken, USA John Wiley & Sons, Inc 01.10.2022 Wiley Subscription Services, Inc
Predmet:	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
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