Global exponential stability of a class of memristive neural networks with time-varying delays

摘要：

　　This paper studies the uniqueness and global exponential stability of the equilibrium point for memristor-based recurrent neural networks with time-varying delays.By employing Lyapunov functional and theory of differential equations with discontinuous right-hand side, we establish several sufficient conditions for exponential stability of the equilibrium point.In comparison with the existing results, the proposed stability conditions are milder and more general, and can be applied to the memristor-based neural networks model whose connection weight changes continuously.Numerical examples are also presented to show the effectiveness of the theoretical results.

关键词： Memristive neural network Exponential stability Time delay Lyapunov functional

作者: Xin Wang Chuandong Li Tingwen Huang Shukai Duan

会议类型: 国内会议

会议名称: 西南大学2014年全国博士生学术论坛(电子技术与信息科学领域)

会议地点: 重庆

会议语种:英文

页码: 96-104

在线出版日期: 2014-12-01（万方平台首次上网日期，不代表论文的发表时间）