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Dr. Abdelhameed Mohamed Abdelhameed Nagy :: Publications:

Title:
Finite-Time Stability for Caputo–Katugampola Fractional-Order Time-Delayed Neural Networks
Authors: Assaad Jmal, Abdellatif Ben Makhlouf, A. M. Nagy, Omar Naifar
Year: 2019
Keywords: Not Available
Journal: Neural Processing Letters
Volume: 50
Issue: 1
Pages: 607-621
Publisher: Not Available
Local/International: International
Paper Link:
Full paper Not Available
Supplementary materials Not Available
Abstract:

In this paper, an original scheme is presented, in order to study the finite-time stability of the equilibrium point, and to prove its existence and uniqueness, for Caputo–Katugampola fractional-order neural networks, with time delay. The proposed scheme uses a newly introduced fractional derivative concept in the literature, which is the Caputo–Katugampola fractional derivative. The effectiveness of the theoretical results is shown through simulations for two numerical examples.

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