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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Veröffentlicht in:	Proceedings of the 30th Chinese Control Conference S. 1442 - 1445
Hauptverfasser:	Wang Xiuping, Chen Jing
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 01.07.2011
Schlagworte:	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-Zugang:	Volltext
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