|You are in:Home/Publications/Finite-Time Stability for Caputo–Katugampola Fractional-Order Time-Delayed Neural Networks|
Dr. Abdelhameed Mohamed Abdelhameed Nagy :: Publications:
Finite-Time Stability for Caputo–Katugampola Fractional-Order Time-Delayed Neural Networks
|Authors:||Assaad Jmal, Abdellatif Ben Makhlouf, A. M. Nagy, Omar Naifar|
|Journal:||Neural Processing Letters|
|Full paper||Not Available|
|Supplementary materials||Not Available|
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.