Finite-Time Projective Synchronization in Fractional-Order Inertial Memristive Neural Networks: A Novel Approach to Image Encryption

Finite-Time Projective Synchronization in Fractional-Order Inertial Memristive Neural Networks: A Novel Approach to Image Encryption

This paper presents a novel finite-time projective synchronization (FTPS) control strategy for fractional-order inertial memristive neural networks (FOIMNNs), exploring its application in image encryption. A sufficient condition for ensuring FTPS in FOIMNNs is established and validated through numer...

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Bibliographic Details
Main Authors: Huixian Weng, Yongqing Yang, Rixu Hao, Fengyi Liu
Format: Article
Language:English
Published: MDPI AG 2024-10-01
Series:Fractal and Fractional
Subjects:
fractional order
neural networks
finite-time projective synchronization
image encryption
Online Access:https://www.mdpi.com/2504-3110/8/11/631
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