76138

Автор(ы): 

Амосов О. С. (ИПУ РАН, Лаборатория 40)
Амосова С. Г. (ИПУ РАН, Лаборатория 80)

Автор(ов): 

2

Параметры публикации

Тип публикации: 

Доклад

Название: 

Constructing the State Estimation Algorithms Based on Decomposition for the Fractional Dynamic Systems

ISBN/ISSN: 

979-835033790-7

DOI: 

10.1109/MLSD58227.2023.10303801

Наименование конференции: 

  • 2023 16th International Conference Management of large-scale system development (MLSD)

Наименование источника: 

  • Proceedings of the 16th International Conference Management of Large-Scale System Development (MLSD)

Город: 

  • Moscow

Издательство: 

  • IEEE

Год издания: 

2023

Страницы: 

https://ieeexplore.ieee.org/document/10303801
Аннотация
The paper deals with the statement of the nonlinear task of estimating the dynamic system state, unknown parameters, and fractional order. The solution uses the decomposition approach, which includes Kalman filters, wavelets, fuzzy systems, neural networks, and their combinations. An example illustrates the problem solution with estimating algorithms accuracy and speed.

Библиографическая ссылка: 

Амосов О.С., Амосова С.Г. Constructing the State Estimation Algorithms Based on Decomposition for the Fractional Dynamic Systems / Proceedings of the 16th International Conference Management of Large-Scale System Development (MLSD). Moscow: IEEE, 2023. С. https://ieeexplore.ieee.org/document/10303801.