72005

Автор(ы): 

Чан Д. Х. (МФТИ)
Пащенко Ф. Ф. (ИПУ РАН, Лаборатория 40)
Буй Ч. А. (МФТИ)

Автор(ов): 

3

Параметры публикации

Тип публикации: 

Доклад

Название: 

Regularized Generalized Identification Algorithm in The Problem Of Modeling Of Weakly Formalizable Systems

ISBN/ISSN: 

978-1-6654-5659-3

DOI: 

10.1109/SUMMA57301.2022.9974063

Наименование конференции: 

  • 4nd International Conference on Control Systems, Mathematical Modeling, Automation and Energy Efficiency (SUMMA2022, Lipetsk)

Наименование источника: 

  • Proceedings of the 4th International Conference on Control Systems, Mathematical Modeling, Automation and Energy Efficiency (SUMMA)

Город: 

  • Липецк

Издательство: 

  • IEEE

Год издания: 

2022

Страницы: 

398-402 https://ieeexplore.ieee.org/abstract/document/9974063
Аннотация
The analysis of convergence of adaptive regularized generalized identification algorithm under measurement noise is presented. The application of the regularized generalized identification algorithm provides and improves the computational stability of the procedure for estimating the parameters of neurofuzzy models. Index Terms—identification of linear objects, adaptive algorithm, generalized identification algorithm, regularized generalized identification algorithm, neuro-fuzzy models, adaptive neurofuzzy inference system

Библиографическая ссылка: 

Чан Д.Х., Пащенко Ф.Ф., Буй Ч.А. Regularized Generalized Identification Algorithm in The Problem Of Modeling Of Weakly Formalizable Systems / Proceedings of the 4th International Conference on Control Systems, Mathematical Modeling, Automation and Energy Efficiency (SUMMA). Липецк: IEEE, 2022. С. 398-402 https://ieeexplore.ieee.org/abstract/document/9974063.