72041

Автор(ы): 

Суслов Д. М. (МЭИ)
Пикина Г. А. (МЭИ)
Пащенко А. Ф. (ИПУ РАН, Лаборатория 40)
Пащенко Ф. Ф. (ИПУ РАН, Лаборатория 40)

Автор(ов): 

4

Параметры публикации

Тип публикации: 

Доклад

Название: 

Selection of the Object Model in Optimizing the Prognostic Control System

DOI: 

10.1109/MLSD55143.2022.9934440

Наименование конференции: 

  • 2022 15th International Conference Management of large-scale system development (MLSD)

Наименование источника: 

  • Proceedings of the 15th International Conference Management of Large-Scale System Development (MLSD)

Город: 

  • Москва

Издательство: 

  • IEEE

Год издания: 

2022

Страницы: 

https://ieeexplore.ieee.org/abstract/document/9934440
Аннотация
The paper solves the problem of dependence of the approximating object model on the efficiency of the prognostic control system. Parametric optimization is performed for a system with a predictive PID controller. The significant influence of the choice of model on the quality of regulation is shown, and recommendations are given for the object model on the possible degree of simplification.

Библиографическая ссылка: 

Суслов Д.М., Пикина Г.А., Пащенко А.Ф., Пащенко Ф.Ф. Selection of the Object Model in Optimizing the Prognostic Control System / Proceedings of the 15th International Conference Management of Large-Scale System Development (MLSD). М.: IEEE, 2022. С. https://ieeexplore.ieee.org/abstract/document/9934440.