Some Stochastic Gradient Algorithms for Hammerstein Systems with Piecewise Linearity

Some stochastic gradient (SG) algorithms for Hammerstein systems with piecewise linearity are developed in this paper. Due to the complexity of the nonlinear structure, the key term separation is used to transfer the nonlinear model into a regression model, and then, some SG algorithms are proposed...

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Veröffentlicht in:	Circuits, systems, and signal processing Jg. 40; H. 4; S. 1635 - 1651
Hauptverfasser:	Pu, Yan, Yang, Yongqing, Chen, Jing
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Springer US 01.04.2021 Springer Nature B.V
Schlagworte:	Algorithms Circuits and Systems Electrical Engineering Electronics and Microelectronics Engineering Instrumentation Linearity Regression models Signal,Image and Speech Processing Gradient search Parameter estimation Aitken method Forgetting factor Piecewise linearity
ISSN:	0278-081X, 1531-5878
Online-Zugang:	Volltext
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