Existence and Global Exponential Stability of Pseudo Almost Periodic Solutions of a General Delayed BAM Neural Networks

被引：0
作者：
Lian Duan
机构：
[1] Anhui University of Science and Technology,School of Mathematics and Big Data
来源：
Journal of Systems Science and Complexity | 2018年 / 31卷
关键词：
General BAM neural network; global exponential stability; pseudo almost periodic solution;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
This paper studies a class of general BAM neural networks with multiple delays. Employing the exponential dichotomy theory and fixed point method, together with constructing suitable Lyapunov functionals, easily verifiable delay-independent criteria are established to ensure the existence and global exponential stability of pseudo almost periodic solutions, which not only generalize but also complement some existing ones. These theoretical results are also supported with numerical simulations.
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页码：608 / 620
页数：12
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