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On fractional variable-order neural networks with time-varying external inputs


Article Information

Title: On fractional variable-order neural networks with time-varying external inputs

Authors: Amel Hioual, Adel Ouannas

Journal: Innovative journal of mathematics

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Year: 2022

Volume: 1

Issue: 1

Language: en

DOI: 10.55059/ijm.2022.1.1/5

Keywords: Asymptotic stabilityFractional variable-order calculusFractional variable-order neural networksGlobal Asymptotic synchronization

Categories

Abstract

This research discuss the existence, uniqueness, asymptotic stability, and global asymptotic synchronization of a class of Caputo variable-order neural networks with time-varying external inputs. Theory of contraction mapping is used to establish a sufficient condition for determining the existence and uniqueness of the equilibrium point.Using the variable fractional Lyapunov approach, we investigate the asymptotic stability of the unique equilibrium. Synchronization of variable-order chaotic networks is also studied using an effective controller. Three numerical examples are provided to show the efficacy of the results obtained.


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