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Finite-Time Stability for Caputo-Katugampola Fractional-Order Time-Delayed Neural Networks
Journal article   Peer reviewed

Finite-Time Stability for Caputo-Katugampola Fractional-Order Time-Delayed Neural Networks

Assaad Jmal, Abdellatif Ben Makhlouf, A. M. Nagy and Omar Naifar
Neural processing letters, Vol.50(1), pp.607-621
01/08/2019

Abstract

Computer Science Computer Science, Artificial Intelligence Science & Technology Technology
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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