Parameter identification for nonlinear Hammerstein models with stacked sparse autoencoder network

In this paper, a novel parameter identification method is addressed for Hammerstein nonlinear model with stacked sparse autoencoder (SSAE) network. The Hammerstein model presented is composed of a nonlinear block and a linear dynamic block, in which the nonlinear block is modeled by a SSAE network,...

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Veröffentlicht in:	Engineering applications of artificial intelligence Jg. 163; S. 113002
Hauptverfasser:	Li, Feng, Song, Liexin, Wang, Tianhu, Liu, Ranran
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.01.2026
Schlagworte:	Hammerstein nonlinear system Multi-innovation Parameter identification Recursive least squares Stacked sparse autoencoder network Stacked sparse autoencoder network Parameter identification Multi-innovation Recursive least squares Hammerstein nonlinear system
ISSN:	0952-1976
Online-Zugang:	Volltext
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