Parameter estimation for multirate multi-input systems using auxiliary model and multi-innovation

doi:10.3969/j.issn.1004-4132.2010.06.022

Journal of Systems Engineering and Electronics ›› 2010, Vol. 21 ›› Issue (6): 1079-1083.doi: 10.3969/j.issn.1004-4132.2010.06.022

• CONTROL THEORY AND APPLICATION • Previous Articles Next Articles

Parameter estimation for multirate multi-input systems using auxiliary model and multi-innovation

Lili Han* and Feng Ding

School of IoT Engineering, Jiangnan University, Wuxi 214122, P. R. China

Online:2010-12-20 Published:2010-01-03

Abstract

Abstract:

The multirate multi-input systems have different updating periods and sampling periods such that the conventional identification algorithms cannot be used to identify such multirate systems. By using the auxiliary model identification idea, the multiinnovation stochastic gradient algorithm is developed to estimate the parameters of multirate systems. Finally, an illustrative example is given to verify the effectiveness of the proposed algorithm.

Key words: parameter estimation, multirate systems, multiinnovation, auxiliary model

Lili Han and Feng Ding. Parameter estimation for multirate multi-input systems using auxiliary model and multi-innovation[J]. Journal of Systems Engineering and Electronics, 2010, 21(6): 1079-1083.

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Parameter estimation for multirate multi-input systems using auxiliary model and multi-innovation

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