82882

Автор(ы): 

Автор(ов): 

2

Параметры публикации

Тип публикации: 

Статья в журнале/сборнике

Название: 

Adaptive Identification of Distributed Parameters in Nonlinear PDE Setting: Sine-Gordon Case Study

Электронная публикация: 

Да

ISBN/ISSN: 

2949-8554

DOI: 

10.1016/j.jai.2025.10.007

Наименование источника: 

  • Journal of Automation and Intelligence

Город: 

  • Amsterdam

Издательство: 

  • ELSEVIER SCIENCE BV, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS

Год издания: 

2025

Страницы: 

https://www.sciencedirect.com/science/article/pii/S2949855425000632
Аннотация
The primary concern of the work is to develop adaptive identification approach to uncertain dynamic systems governed by nonlinear partial differential equations. The well-known nonlinear sine-Gordon PDE model, which describes distributed wave dynamics (e.g., of continuum of interacting oscillators), serves as a testbed. It is shown that the sine-Gordon model with uncertain external force and viscous friction, which are distributed in space, is identifiable over the entire state measurement provided that it is excited by a specific nonzero input. Numerical simulations support the theory in the case where unknown plant parameters are spatially invariant.

Библиографическая ссылка: 

Орлов Ю.В., Андриевский Б.Р. Adaptive Identification of Distributed Parameters in Nonlinear PDE Setting: Sine-Gordon Case Study // Journal of Automation and Intelligence. 2025. С. https://www.sciencedirect.com/science/article/pii/S2949855425000632.