2181

Автор(ы): 

Автор(ов): 

3

Параметры публикации

Тип публикации: 

Доклад

Название: 

A General Direct Weight Optimization Framework for Nonlinear System Identification

ISBN/ISSN: 

ISBN: 978-3-902661-75-3. DOI: 10.3182/20050703-6-CZ-1902.00030

Наименование конференции: 

  • The 16th IFAC World Congress, Prague, Czech Republic, July, 2005

Наименование источника: 

  • Proceedings of the 16th IFAC World Congress (Prague, 2005)

Город: 

  • Prague

Издательство: 

  • IFAC Publication

Год издания: 

2005

Страницы: 

29-29
Аннотация
The direct weight optimization (DWO) approach is a method for finding optimal function estimates via convex optimization, applicable to nonlinear system identification. In this paper, an extended version of the DWO approach is introduced. A general function class description - which includes several important special cases - is presented, and different examples are given. A general theorem about the principal shape of the weights is also proven.

Библиографическая ссылка: 

Roll J., Назин А.В., Ljung L. A General Direct Weight Optimization Framework for Nonlinear System Identification / Proceedings of the 16th IFAC World Congress (Prague, 2005). Prague: IFAC Publication, 2005. С. 29-29.