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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Vydané v:	Proceedings of the Institution of Mechanical Engineers. Part I, Journal of systems and control engineering Ročník 223; číslo 4; s. 445 - 454
Hlavní autori:	Liu, Yanjun, Xie, Li, Ding, Feng
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	London, England SAGE Publications 01.06.2009 SAGE PUBLICATIONS, INC
Predmet:	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
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