79579

Автор(ы): 

Дуванов Е. С. (Липецкий гостехуниверситет)
Федянин Т. В. (ЛГТУ)
Пащенко А. Ф. (ИПУ РАН, Лаборатория 40)

Автор(ов): 

3

Параметры публикации

Тип публикации: 

Доклад

Название: 

The Feasibility of Using a Predictive Neural Network Controller in the Problem of Maintaining the Water Level in a Reservoir

DOI: 

10.1109/MLSD61779.2024.10739573

Наименование конференции: 

  • 2024 17th International Conference Management of large-scale system development (MLSD)

Наименование источника: 

  • Proceedings of the 17th International Conference Management of Large-Scale System Development (MLSD)

Город: 

  • Москва

Издательство: 

  • IEEE

Год издания: 

2024

Страницы: 

https://ieeexplore.ieee.org/document/10739573
Аннотация
The article presents a comparative analysis of the results of using a predictive neuro-regulator developed in the MATLAB environment and using a neural network to correct the control signal of a hydraulic laboratory stand with a classical PI regulator in the task of maintaining the water level in a tank. The feasibility of using this approach has also been assessed. The results obtained can shed light on the advantages and limitations of using neuro-regulators using the example of a hydraulic bench.

Библиографическая ссылка: 

Дуванов Е.С., Федянин Т.В., Пащенко А.Ф. The Feasibility of Using a Predictive Neural Network Controller in the Problem of Maintaining the Water Level in a Reservoir / Proceedings of the 17th International Conference Management of Large-Scale System Development (MLSD). М.: IEEE, 2024. С. https://ieeexplore.ieee.org/document/10739573.