Anti-periodicity on high-order inertial Hopfield neural networks involving mixed delays

Anti-periodicity on high-order inertial Hopfield neural networks involving mixed delays

Abstract This paper deals with a class of high-order inertial Hopfield neural networks involving mixed delays. Utilizing differential inequality techniques and the Lyapunov function method, we obtain a sufficient assertion to ensure the existence and global exponential stability of anti-periodic sol...

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Bibliographic Details
Main Authors: Luogen Yao, Qian Cao
Format: Article
Language:English
Published: SpringerOpen 2020-07-01
Series:Journal of Inequalities and Applications
Subjects:
High-order inertial neural networks
Anti-periodic solution
Global exponential stability
Mixed delay
Online Access:http://link.springer.com/article/10.1186/s13660-020-02444-3

Internet

http://link.springer.com/article/10.1186/s13660-020-02444-3

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