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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Bibliographic Details
Published in:Mathematics and computers in simulation Vol. 82; no. 5; pp. 777 - 789
Main Authors: Han, Lili, Wu, Fangxiang, Sheng, Jie, Ding, Feng
Format: Journal Article
Language:English
Published: Elsevier B.V 01.01.2012
Subjects:
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
Online Access:Get full text
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Summary: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