An auxiliary model based on a recursive least-squares parameter estimation algorithm for non-uniformly sampled multirate systems

Abstract The lifted state-space models for a class of multirate systems non-uniformly sampled from their continuous-time systems are derived, and the corresponding input-output relationship is obtained. For unmeasurable information vectors arising in the identification models, this paper gives an au...

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Bibliographic Details
Published in:	Proceedings of the Institution of Mechanical Engineers. Part I, Journal of systems and control engineering Vol. 223; no. 4; pp. 445 - 454
Main Authors:	Liu, Yanjun, Xie, Li, Ding, Feng
Format:	Journal Article
Language:	English
Published:	London, England SAGE Publications 01.06.2009 SAGE PUBLICATIONS, INC
Subjects:	Algorithms Computer simulation Convergence Data systems Economic models Estimating techniques Excitation Least squares method Mechanical engineering Monte Carlo simulation Noise (mathematics) Noise prediction Parameter estimation Parameter identification Recursive algorithms Sampled data systems State space models Variance multirate systems auxiliary model method parameter estimation recursive identification state-space models
ISSN:	0959-6518, 2041-3041
Online Access:	Get full text
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