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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Vydané v:	IET control theory & applications Ročník 12; číslo 16; s. 2184 - 2193
Hlavní autori:	Chen, Jing, Liu, Yanjun, Zhu, Quanmin
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	The Institution of Engineering and Technology 06.11.2018
Predmet:	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
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