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Exponential Synchronization for Fractional-order Time-delayed Memristive Neural Networks Cover

Exponential Synchronization for Fractional-order Time-delayed Memristive Neural Networks

By: Ding Dawei,  Zhang Yaqin and  Wang Nian  
Open Access
|Oct 2019

Abstract

Considering the fact that the exponential synchronization of neural networks has been widely used in theoretical research and practical application of many scientific fields, and there are a few researches about the exponential synchronization of fractional-order memristor-based neural networks (FMNN). This paper concentrates on the FMNN with time-varying delays and investigates its exponential synchronization. A simple linear error feedback controller is applied to compel the response system to synchronize with the drive system. Combining the theories of differential inclusions and set valued maps, a new sufficient condition concerning exponential synchronization is obtained based on comparison principle rather than the traditional Lyapunov theory. The obtained results extend exponential synchronization of integer-order system to fractional-order memristor-based neural networks with time-varying delays. Finally, some numerical examples are used to demonstrate the effectiveness and correctness of the main results.

Language: English
Page range: 1 - 15
Published on: Oct 1, 2019
Published by: Xi’an Technological University
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2019 Ding Dawei, Zhang Yaqin, Wang Nian, published by Xi’an Technological University
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.