79580

Автор(ы): 

Дуванов Е. С. (Липецкий гостехуниверситет)
Батищев Р. В. (ЛГТУ)
Пащенко А. Ф. (ИПУ РАН, Лаборатория 40)
Мелешкин Н. А. (ЛГТУ)

Автор(ов): 

4

Параметры публикации

Тип публикации: 

Доклад

Название: 

Applying of Predictive Neural Network Controllers in a Hydraulic Control Object

DOI: 

10.1109/TELE62556.2024.10605619

Наименование конференции: 

  • 2024 4th International Conference on Technology Enhanced Learning in Higher Education (TELE)

Наименование источника: 

  • Proceedings for the 4nd International Conference on Technology Enhanced Learning in Higher Education (TELE 2024, Lipetsk)

Город: 

  • Липецк

Издательство: 

  • IEEE

Год издания: 

2024

Страницы: 

https://ieeexplore.ieee.org/document/10605619
Аннотация
The article discusses the control of a hydraulic object using predictive and predictive neural network control blocks in the MATLAB software environment, as well as their comparison with the classical PI controller on a laboratory setup. Application and implementation of these regulators in the educational process.

Библиографическая ссылка: 

Дуванов Е.С., Батищев Р.В., Пащенко А.Ф., Мелешкин Н.А. Applying of Predictive Neural Network Controllers in a Hydraulic Control Object / Proceedings for the 4nd International Conference on Technology Enhanced Learning in Higher Education (TELE 2024, Lipetsk). Липецк: IEEE, 2024. С. https://ieeexplore.ieee.org/document/10605619.