Recursive least squares estimation algorithm applied to a class of linear-in-parameters output error moving average systems

This letter deals with the identification problem of a class of linear-in-parameters output error moving average systems. The difficulty of identification is that there exist some unknown variables in the information vector. By means of the auxiliary model identification idea, an auxiliary model bas...

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Vydáno v:Applied mathematics letters Ročník 29; s. 36 - 41
Hlavní autoři: Wang, Cheng, Tang, Tao
Médium: Journal Article
Jazyk:angličtina
Vydáno: Elsevier Ltd 01.03.2014
Témata:
Algorithms
Computer simulation
Dynamic system
Errors
Least squares
Least squares method
Linear-in-parameters model
Mathematical analysis
Mathematical models
Numerical algorithm
Parameter estimation
Recursive
Recursive identification
Vectors (mathematics)
Recursive identification
Parameter estimation
Dynamic system
Linear-in-parameters model
Least squares
Numerical algorithm
ISSN:0893-9659, 1873-5452
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Shrnutí:This letter deals with the identification problem of a class of linear-in-parameters output error moving average systems. The difficulty of identification is that there exist some unknown variables in the information vector. By means of the auxiliary model identification idea, an auxiliary model based recursive least squares algorithm is developed for identifying the parameters of the proposed system. The simulation results confirm the conclusion.
Bibliografie:ObjectType-Article-1
SourceType-Scholarly Journals-1
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content type line 23
ISSN:0893-9659
1873-5452
DOI:10.1016/j.aml.2013.10.011