Global exponential stability of delayed inertial competitive neural networks

Abstract In this paper, the exponential stability for a class of delayed competitive neural networks is studied. By applying the inequality technique and non-reduced-order approach, some novel and useful criteria of global exponential stability for the addressed network model are established. Moreov...

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Bibliographic Details
Main Authors: Min Shi, Juan Guo, Xianwen Fang, Chuangxia Huang
Format: Article
Language:English
Published: SpringerOpen 2020-02-01
Series:Advances in Difference Equations
Subjects:
Online Access:http://link.springer.com/article/10.1186/s13662-019-2476-7