Two recursive least squares parameter estimation algorithms for multirate multiple-input systems by using the auxiliary model

This paper considers identification problems of multirate multiple-input output error systems, derives the input-output representations by using the state space models of the multirate systems, and presents two auxiliary model based recursive least squares algorithms for the corresponding output err...

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Vydáno v:	Mathematics and computers in simulation Ročník 82; číslo 5; s. 777 - 789
Hlavní autoři:	Han, Lili, Wu, Fangxiang, Sheng, Jie, Ding, Feng
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier B.V 01.01.2012
Témata:	Auxiliary model identification idea Least squares Multi-innovation identification theory Multirate systems Output error methods Output error methods Auxiliary model identification idea Multirate systems Least squares Multi-innovation identification theory
ISSN:	0378-4754, 1872-7166
On-line přístup:	Získat plný text
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Popis
Shrnutí:	This paper considers identification problems of multirate multiple-input output error systems, derives the input-output representations by using the state space models of the multirate systems, and presents two auxiliary model based recursive least squares algorithms for the corresponding output error models with each subsystem having different or same denominator polynomials. The simulation results show the effectiveness of the proposed algorithms.
ISSN:	0378-4754 1872-7166
DOI:	10.1016/j.matcom.2011.05.014