Variable data-window-size recursive least-squares algorithm for dynamic system identification

A variable data-window size for the recursive least-squares algorithm is proposed. Using the window-size selection criterion, the window size can be suitably adjusted for the conditions of the system parameters to be estimated.

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Veröffentlicht in:Electronics letters Jg. 51; H. 4; S. 341 - 343
Hauptverfasser: Cho, Hyeonwoo, Yu, Son-Cheol
Format: Journal Article
Sprache:Englisch
Veröffentlicht: The Institution of Engineering and Technology 19.02.2015
Schlagworte:
Adjustment
Algorithms
Criteria
dynamic system identification
Dynamical systems
Dynamics
identification
Information and communications
least mean squares methods
Least squares method
Recursive
RLS
System identification
system parameters
variable data‐window‐size recursive least‐squares algorithm
window‐size selection criterion
least mean squares methods
dynamic system identification
identification
variable data-window-size recursive least-squares algorithm
RLS
system parameters
window-size selection criterion
ISSN:0013-5194, 1350-911X, 1350-911X
Online-Zugang:Volltext
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Zusammenfassung:A variable data-window size for the recursive least-squares algorithm is proposed. Using the window-size selection criterion, the window size can be suitably adjusted for the conditions of the system parameters to be estimated.
Bibliographie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
ISSN:0013-5194
1350-911X
1350-911X
DOI:10.1049/el.2014.3251