Abstract
The paper discusses a neural regulator for controlling technical objects described by a second-order differential equation. The results of experimental studies are presented on selecting a number of hidden layers, a number of neurons in layers, and use of the neural regulator constructed.
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References
Besekerskii, V.A. and Popov, E. P., Teoriya sistem avtomaticheskogo regulirovaniya (The Theory of Automatic Control Systems), St. Petersburg: Professiya, 2003.
Zagoruiko, S. N., Development of an Adaptive Inverse Neural Regulator for Control of a Piezoelectric Mechatronic Module, Molodezhnyi nauchno-tekhnicheskii vestnik MGTU im. A.N. Baumana, 2012, no. 8, URL: http://sntbul.bmstu.ru/doc/466058.html.
Omatu, S., Khalid, M., and Yusof, R., Neuro-Control and Its Applications, London: Springer, 1996.
Tyumensev, Yu. V., Optimal Control, URL: http://www.twirpx.com/file/283599/.
Haykin, Saimon, Neural Networks: A Comprehensive Foundation, Prentice Hall, 1998.
Krug, P.G., Neironnye seti i neirokomp’yutery (Neural Networks and Neural Computers), Moscow: Izd. MEI, 2002.
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Original Russian Text © L.Yu. Emaletdinova, I.V. Matveev, A.N. Kabirova 2015, published in Izvestiya VUZ. Aviatsionnaya Tekhnika, 2015, No. 2, pp. 87–92.
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Emaletdinova, L.Y., Matveev, I.V. & Kabirova, A.N. Method of constructing a neural regulator for the automatic one-dimensional control of a technical object. Russ. Aeronaut. 58, 227–232 (2015). https://doi.org/10.3103/S1068799815020154
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DOI: https://doi.org/10.3103/S1068799815020154