An auxiliary model based multi-innovation recursive least squares estimation algorithms for MIMO Hammerstein system

An auxiliary model based multi-innovation recursive least squares estimation algorithms is proposed in this paper. The unknown variables in the information vector can be estimated by using the auxiliary model. The proposed recursive least squares algorithm uses not only the current innovation but al...

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Bibliographic Details

Published in:	Proceedings of the 30th Chinese Control Conference pp. 1442 - 1445
Main Authors:	Wang Xiuping, Chen Jing
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.07.2011
Subjects:	Adaptation models Auxiliary model identification Convergence Least squares Least squares approximation Multi-innovation identification Multi-input multi-output systems Nonlinear systems Parameter estimation Stochastic processes Technological innovation
ISBN:	9781457706776, 1457706776
ISSN:	1934-1768
Online Access:	Get full text
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