Repozytorium Uniwersytetu Zielonogórskiego udostępnia 9 272 obiektów cyfrowych
Obiekt
Tytuł: Robust identification by dynamic neural networks using sliding mode learning
Creator:
Poznyak, Alexander S. ; Yu, Wen ; Sanchez, Edgar N. ; Sira-Ramirez, Hebertt
Date:
Resource Type:
Contributor:
Subtitle:
Adaptive Learning and Control Using Sliding Modes
Group publication title:
Abstract:
The problem of identification of continuous, uncertain nonlinear systems in the presence of bounded disturbances is implemented using dynamic neural networks. The proposed neural identifier guarantees a bound for the state estimation error. This bound turns out to be a linear combination of internal and external uncertainty levels. ; The neural net weights are updated on-line by a learning algorithm based on the sliding mode technique. To the best of the authors' knowledge, such a learning scheme is proposed for dynamic neural networks for the first time. Numerical simulations illustrate its effectiveness, even for highly nonlinear systems in the presence of important disturbances
Publisher:
Zielona Góra: Uniwersytet Zielonogórski
Resource Identifier:
Pages:
Source:
AMCS, volume 8, number 1 (1998) ; kliknij tutaj, żeby przejść
Language:
License CC BY 4.0:
Rights:
Biblioteka Uniwersytetu Zielonogórskiego
Kolekcje, do których przypisany jest obiekt:
- Repository > Faculties > Faculty of Computer, Electrical and Control Engineering
- Repository > Types of work > Articles
- Repository > Scientific journals and UZ publishing series > International Journal of Applied Mathematics and Computer Science (AMCS) > International Journal of Applied Mathematics and Computer Science (AMCS) (1998)
Data ostatniej modyfikacji:
14 lip 2025
Data dodania obiektu:
18 gru 2020
Liczba wyświetleń treści obiektu:
203
Wszystkie dostępne wersje tego obiektu:
https://zbc.uz.zgora.pl/repozytorium/publication/64638
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| Nazwa wydania | Data |
|---|---|
| Robust identification by dynamic neural networks using sliding mode learning | 14 lip 2025 |
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