- Issue
- Journal of Siberian Federal University. Mathematics & Physics. 2022 15 (4)
- Authors
- Ischuk, Igor N.; Telnykh, Bogdan K.; Tyapkin, Valeriy N.; Kremez, Nikolay S.
- Contact information
- Ischuk, Igor N.: Siberian Federal University Krasnoyarsk, Russian Federation; ; Telnykh, Bogdan K.: Military Training and Research Center of the Air Force «Air Force Academy ft. Professor N.E. Zhukovsky and Y.A. Gagarin» Voronezh, Russian Federation; ; Tyapkin, Valeriy N.: Siberian Federal University Krasnoyarsk, Russian Federation; OCRID: 0000-0002-3087-8653; Kremez, Nikolay S.: Siberian Federal University Krasnoyarsk, Russian Federation;
- Keywords
- unmanned aerial vehicle; artificial neural network; information technologies; intelligent agent; reinforcement learning
- Abstract
Traditional and modern algorithms for solving the problem of planning the optimal route of an unmanned aerial vehicle under the influence of low-altitude air defense systems is presented in the paper. The principles of the methods, as well as, the tools used in them are described. Classical approaches of reinforcement learning and its modification using artificial neural networks are considered. The proposed algorithms are implemented and simulation with the use of these algorithms is carried out. A comparative analysis of the results is performed and conclusions about the effectiveness of the algorithms are presented
- Pages
- 431–443
- DOI
- 10.17516/1997-1397-2022-15-4-431-443
- Paper at repository of SibFU
- https://elib.sfu-kras.ru/handle/2311/147484
Journal of Siberian Federal University. Mathematics & Physics / Intellectual Ways of Solving the Problem of Constructing the Optimal Route of an Unmanned Aerial Vehicle in the Conditions of Counteraction
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