Bias compensation recursive algorithm for dual-rate rational models

In dual-rate rational systems, some output data are missing (unmeasurable) to make the traditional recursive least squares (RLS) parameter estimation algorithms invalid. In order to overcome this difficulty, this study develops a bias compensation RLS algorithm for estimating the missing outputs and...

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Veröffentlicht in:	IET control theory & applications Jg. 12; H. 16; S. 2184 - 2193
Hauptverfasser:	Chen, Jing, Liu, Yanjun, Zhu, Quanmin
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	The Institution of Engineering and Technology 06.11.2018
Schlagworte:	bias compensation recursive algorithm bias compensation RLS algorithm correlated noise dual‐rate rational systems least squares approximations particle filter particle filtering (numerical methods) recursive estimation recursive least squares parameter estimation algorithms Research Article unbiased parameter estimation recursive least squares parameter estimation algorithms least squares approximations dual-rate rational systems recursive estimation particle filtering (numerical methods) unbiased parameter estimation bias compensation recursive algorithm particle filter bias compensation RLS algorithm correlated noise
ISSN:	1751-8644, 1751-8652
Online-Zugang:	Volltext
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