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Prikladnaya Diskretnaya Matematika, 2010, supplement № 3, Pages 103–105 (Mi pdm203)  
Mathematical Foundations of Intelligent Systems

State estimation for stochastic object on the base of modeling trend in time series

S. I. Kolesnikova, A. A. Belous

Tomsk State University of Control Systems and Radioelectronics, Tomsk
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Abstract: A new model for state recognition in dynamic object provided in the form of non-stationary time series is discussed. Algorithms for construction of generalized etalons of dynamic object state and of modeling segment of time series on the base of generalized etalons and difference scheme are suggested. Availability of the model is shown on an applied problem.
Document Type: Article
UDC: 519.7+519.81
Language: Russian
Citation: S. I. Kolesnikova, A. A. Belous, “State estimation for stochastic object on the base of modeling trend in time series”, Prikl. Diskr. Mat., 2010, supplement № 3, 103–105
Citation in format AMSBIB
\Bibitem{KolBel10}
\by S.~I.~Kolesnikova, A.~A.~Belous
\paper State estimation for stochastic object on the base of modeling trend in time series
\jour Prikl. Diskr. Mat.
\yr 2010
\pages 103--105
\issueinfo supplement № 3
\mathnet{http://mi.mathnet.ru/pdm203}
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