75016

Автор(ы): 

Автор(ов): 

2

Параметры публикации

Тип публикации: 

Доклад

Название: 

Fractional Kalman Type Filters for Estimating the State, Parameters, and Order of Fractional Dynamical System in Problems of Navigation Information Processing

ISBN/ISSN: 

978-591995095-0

DOI: 

10.23919/ICINS51816.2023.10168506

Наименование конференции: 

  • 30th Saint Petersburg International Conference on Integrated Navigation Systems (ICINS-2023)

Наименование источника: 

  • Proceedings of the 30th Saint Petersburg International Conference on Integrated Navigation Systems (ICINS-2023)

Город: 

  • Saint Petersburg

Издательство: 

  • IEEE

Год издания: 

2023

Страницы: 

https://ieeexplore.ieee.org/document/10168506
Аннотация
The statement and solution of problem of estimating the state, parameters, and fractional order of fractional dynamical systems are given. Extended and unscented fractional Kalman filters are presented. Illustrative examples of using the extended and unscented fractional order Kalman filters are given.

Библиографическая ссылка: 

Амосов О.С., Амосова С.Г. Fractional Kalman Type Filters for Estimating the State, Parameters, and Order of Fractional Dynamical System in Problems of Navigation Information Processing / Proceedings of the 30th Saint Petersburg International Conference on Integrated Navigation Systems (ICINS-2023). Saint Petersburg: IEEE, 2023. С. https://ieeexplore.ieee.org/document/10168506.