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pro vyhledávání: '"Yassin, Farhat"'
Publikováno v:
International Journal of Systems Science. 53:1778-1795
Publikováno v:
International Journal on Artificial Intelligence Tools. 31
In the present work, an indirect adaptive neural control method for nonlinear systems having unknown dynamics is proposed. The proposed control architecture is composed by a neural emulator (NE) and a neural controller (NC) where a new decoupled vari
Publikováno v:
Journal of Vibration & Control; Aug2023, Vol. 29 Issue 15/16, p3769-3782, 14p
Publikováno v:
Iranian Journal of Science and Technology, Transactions of Electrical Engineering. 45:1395-1409
In this paper, a stability analysis strategy of nonlinear control systems is proposed. An adaptive neural control scheme composed of an emulator, and a controller with decoupled adaptive rates is considered. A Lyapunov function based on tracking erro
Akademický článek
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Publikováno v:
Transactions of the Institute of Measurement and Control. :014233122311749
This paper deals with a new weight-updating algorithm using Lyapunov stability theory (LST) for the training of a neural emulator (NE), of nonlinear systems, connected by an autonomous algorithm inspired from the real-time recurrent learning (RTRL).
Autor:
Esmail Ahmed ABDEL-GAWWAD, Abdel Aziz Baiomy ABDULLAH, Mostafa Yassin FARHAT, Mohamed Ahmed HELAL
Publikováno v:
Brazilian Dental Science. 24