Auxiliary Variable-Based Identification Algorithms for Uncertain-Input Models

This study presents two auxiliary variable-based identification algorithms for uncertain-input models. The auxiliary variable-based least squares algorithm can obtain unbiased parameter estimates by introducing suitable auxiliary variable vectors. Furthermore, an auxiliary variable-based recursive l...

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Veröffentlicht in:	Circuits, systems, and signal processing Jg. 39; H. 7; S. 3389 - 3404
Hauptverfasser:	Chen, Jing, Zhu, Quanmin, Chandra, Budi, Pu, Yan
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Springer US 01.07.2020 Springer Nature B.V
Schlagworte:	Algorithms Circuits and Systems Computer simulation Electrical Engineering Electronics and Microelectronics Engineering Instrumentation Least squares Parameter estimation Signal,Image and Speech Processing Unbiased parameter estimate Uncertain-input model Computational effort Auxiliary variable Least squares algorithm
ISSN:	0278-081X, 1531-5878
Online-Zugang:	Volltext
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