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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 error models with each subsystem having different or same denominator polynomials. The simulation results show the effectiveness of the proposed algorithms.
Year of publication:
2012
Authors: Han, Lili ; Wu, Fangxiang ; Sheng, Jie ; Ding, Feng
Published in:
Mathematics and Computers in Simulation (MATCOM). - Elsevier, ISSN 0378-4754. - Vol. 82.2012, 5, p. 777-789
Publisher: Elsevier
Subject: Multirate systems | Least squares | Output error methods | Multi-innovation identification theory | Auxiliary model identification idea
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Type of publication: Article
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Persistent link: https://www.econbiz.de/10010751802
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