Abstract
The paper concerns with analysis in terms of information theory and identification of static and dynamic systems.
An information theory approach to estimation of the control system stochasticity is considered. Identification of the control plant is done assuming that the model output contains maximal information on the plant output. Plant identification is carried out in terms of the information criterion with the model parameters taken care of.
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© 1983 ACADEMIA, Publishing House of the Czechoslovak Academy of Sciences, Prague
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Durgaryan, I.S., Pashchenko, F.F. (1983). Information Methods in Identification. In: Transactions of the Ninth Prague Conference. Czechoslovak Academy of Sciences, vol 9A. Springer, Dordrecht. https://doi.org/10.1007/978-94-009-7013-7_23
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DOI: https://doi.org/10.1007/978-94-009-7013-7_23
Publisher Name: Springer, Dordrecht
Print ISBN: 978-94-009-7015-1
Online ISBN: 978-94-009-7013-7
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