Оптимальные оценки в задачах экстраполяции, фильтрации и интерполяции функционалов от случайных процессов со значениями из гильбертова пространства / Шаташвили А. Д., Дидманидзе И. Ш., Фомина Т. А., Фомин-Шаташвили А. А. (2018)
Ukrainian

English  Cybernetics and Systems Analysis   /     Issue (2018, 54 (5))

Shatashvili A.D., Didmanidze I.S., Fomina T.A., Fomin-Shatashvili A.A.
Optimal estimates in the problems of extrapolation, filtration, and interpolation of functionals of random processes with values in a Hilbert space

General formulas are obtained for efficient calculation of optimal estimates for functionals of random processes with values in a Hilbert space. In a special case where the process under study is a solution of a nonlinear evolutionary differential equation with a small nonlinearity, the optimal estimates are expanded in powers of a small parameter and the expansion coefficients are given in the form of algorithms and are calculated explicitly in terms of known quantities of the differential equation. © 2018, Springer Science+Business Media, LLC, part of Springer Nature.

Keywords: algorithm, equivalence of measures, evolutionary differential equation, extended stochastic integral, functional, Radon–Nikodym density, Algorithms, Control nonlinearities, Differential equations, Evolutionary algorithms, Hilbert spaces, Integral equations, Random processes, Stochastic systems, Vector spaces, Equivalence-of-measures, Expansion coefficients, functional, Functionals, General formulas, Optimal estimates, Small nonlinearities, Stochastic integral, Nonlinear equations


Cite:
Shatashvili A.D., Didmanidze I.S., Fomina T.A., Fomin-Shatashvili A.A. (2018). Optimal estimates in the problems of extrapolation, filtration, and interpolation of functionals of random processes with values in a Hilbert space. Cybernetics and Systems Analysis, 54 (5), 79-92. doi: https://doi.org/10.1007/s10559-018-0077-1 http://jnas.nbuv.gov.ua/article/UJRN-0000897818 [In Russian].


 

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