Stability and almost periodicity for delayed high-order Hopfield neural networks with discontinuous activations

被引：0
|
作者：
Lian Duan
Lihong Huang
Zhenyuan Guo
机构：
[1] Hunan University,College of Mathematics and Econometrics
[2] Hunan Women’s University,Department of Information Technology
来源：
Nonlinear Dynamics | 2014年 / 77卷
关键词：
High-order Hopfield neural network; Discontinuous activation; Almost periodic solution; Global exponential stability;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
In this paper, the stability and almost periodicity for delayed high-order Hopfield neural networks with discontinuous activations are investigated. Some new criteria ensuring the existence and global exponential stability of almost periodic solution for the considered neural network model are established by employing the differential inclusion theory, differential inequality technique, and Lyapunov functional approach, the results of this paper improve and complement previously known results. Finally, examples with numerical simulations are presented to demonstrate the effectiveness of theoretical results.
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页码：1469 / 1484
页数：15
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