EXISTENCE AND STABILITY OF PERIODIC SOLUTIONS OF DELAYED BAM NEURAL NETWORKS WITH PERIODIC COEFFICIENTS

• 作者: HuangLihong WangXiaoping
• 来源期刊: 微分方程年刊：英文版
• 学科: 工学
• 关键词: 存在性 周期解 全局展开式 变量系数 BAM人工神经网络 时滞微分方程
• 年，卷（期）: 2005,（1）
• 页码范围: 39-51
• 页数: 13页
• 分类号: TP183

摘要

In this paper, we study the BAM neural networks with variable coefficients and delays. By using the Banach fixed point theorem and constructing suitable Lyapunov function, we obtain some sufficient conditions ensuring the existence, uniqueness and global stability of periodic solution. These results are helpful to design global exponential stable BAM networks and periodic oscillatory BAM networks.