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Please use this identifier to cite or link to this item: http://eprint.iitd.ac.in/handle/2074/1556

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DC FieldValueLanguage
dc.contributor.authorBiswas, K-
dc.contributor.authorSingh, Gulab-
dc.date.accessioned2006-04-04T10:48:11Z-
dc.date.available2006-04-04T10:48:11Z-
dc.date.issued1978-
dc.identifier.citationAutomatic Control, IEEE Transactions on, 23(3), 504 - 505en
dc.identifier.urihttp://eprint.iitd.ac.in/dspace/handle/2074/1556-
dc.description.abstractA method is presented to identify time lags present in systems described by linear, stochastic dynamical models usually encountered in process control. The model equation is first discretized and converted into a non-time-delayed form: a two-stage estimator is then proposed to identify the model parameters.en
dc.format.extent32617 bytes-
dc.format.mimetypeapplication/pdf-
dc.language.isoenen
dc.subjectstochastic dynamical modelsen
dc.subjectprocess controlen
dc.subjectnon-time-delayed formen
dc.subjecttwo-stage estimatoren
dc.titleIdentification of stochastic time-delay systemsen
dc.typeArticleen
Appears in Collections:Electrical Engineering

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