Shuliakov V. Intelligent dynamic nonlinear object control information system based on neuro-fuzzy control units

Українська версія

Thesis for the degree of Candidate of Sciences (CSc)

State registration number

0421U100767

Applicant for

Specialization

  • 05.13.06 - Інформаційні технології

25-03-2021

Specialized Academic Board

Д 64.089.04

O.M. Beketov national university of urban economy in Kharkiv

Essay

The thesis is devoted to the development of mathematical models, methods and information technologies for decision support in the control system of a dynamic nonlinear object. The thesis research is aimed at improving the efficiency of the control system of a dynamic nonlinear object through the use of artificial neural networks, evolutionary modeling methods and fuzzy logic. Solving the problem of improving the efficiency of the control system of a dynamic nonlinear object requires an appropriate level of intellectualization of the decision support system of such control systems, in connection with which development of intelligent decision support systems for the management of a dynamic nonlinear object is relevant, which led to the choice of research topic, goals and objectives of the thesis.

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