Szczegóły publikacji
Opis bibliograficzny
Artificial neural networks for identification in real time of the robot manipulator model parameters / Marcin NAWROCKI, Agata NAWROCKA // W: ICCC 2014 [Dokument elektroniczny] : proceedings of the 15th International Carpathian Control Conference (ICCC) : Velke Karlovice, Czech Republic, May 28–30, 2014 / eds. Ivo Petráš [et al.]. — Wersja do Windows. — Dane tekstowe. — [Piscataway] : IEEE, cop. 2014. — 1 dysk optyczny. — Dod. ISBN 978-1-4799-3528-4. — e-ISBN: 978-1-4799-3527-7. — S. 383–386. — Wymagania systemowe: Adobe Reader ; napęd CD-ROM. — Bibliogr. s. 386, Abstr.
Autorzy (2)
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 81775 |
|---|---|
| Data dodania do BaDAP | 2014-06-17 |
| DOI | 10.1109/CarpathianCC.2014.6843632 |
| Rok publikacji | 2014 |
| Typ publikacji | materiały konferencyjne (aut.) |
| Otwarty dostęp |  |
| Konferencja | International Carpathian Control Conference 2014 |
Abstract
In this paper, the manipulator identification process was presented. To identify single-layer neural network with sigmoidal functions that describe individual neurons was used. The main goal was the approximation nonlinearities of manipulator model in real time. It was assumed that the nonlinearity of the manipulator are unknown. The stability of the identification system adopted by the law of the learning network weights generated based on Lyapunov stability theory.
