ABSTRACTS OF ARTICLES OF THE JOURNAL "INFORMATION TECHNOLOGIES".
No. 10. Vol. 25. 2019

DOI: 10.17587/it.25.579-584

A. V. Medvedev, Professor, e-mail: saor_medvedev@sibsau.ru, Siberian State University of Science and Technology named after academician M. F. Reshetnev, D. I. Yareshchenko, Teacher Lection, e-mail: yareshenkodi@yandex.ru, Siberian Federal University

Nonparametric Modeling of T-Processes under Incomplete Information

This work is devoted to building a new class of models in the context of incomplete information. We are talking about multidimensional inertialess objects for the case when the components of the output vector are stochastically dependent, and the nature of this dependence is a priori unknown. Building a model of a multidimensional inertia-free object in the case when the vectors of inputs and outputs are stochastically dependent (in particular, multicollinear), necessitates solving a system of implicit functions, which is a key component in the way of considering this problem.
Keywords: identification, discrete-continuous processes, mathematical modeling, T-models, T-processes

P. 579–584

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