Automation and information-measuring equipment

Application of recurrent neural network to control objects with uncertain dynamic parameters

Authors

M. I. Palamar
Ternopil State Technical University. I. Pul'uj
O. B. Hnatiuk
Ternopil State Technical University. I. Pul'uj
M. O. Strembitskyi
Ternopil State Technical University. I. Pul'uj

Abstract

The structure of recurrent neural network to control objects with uncertain dynamic parameters is suggested in the paper. The algorithm of neural network training and simulation results of neural network to control management system tracking antenna is offered in the paper.
278 124

How to Cite

[1]
“Application of recurrent neural network to control objects with uncertain dynamic parameters”, Вісник ВПІ, no. 2, pp. 5–10, Apr. 2013, Accessed: Oct. 18, 2026. Available: https://visnyk.vntu.edu.ua/index.php/visnyk/article/view/1095

Author Biographies

M. I. Palamar, Ternopil State Technical University. I. Pul'uj
доцент, кафедра приладів та контрольно-вимірювальних систем
O. B. Hnatiuk, Ternopil State Technical University. I. Pul'uj
старший викладач, кафедра приладів та контрольно-вимірювальних систем
M. O. Strembitskyi, Ternopil State Technical University. I. Pul'uj
аспірант, кафедра приладів та контрольно-вимірювальних систем