Stability of delayed memristive neural networks with time-varying impulses

摘要：

　　This paper addresses the stability problem on the memristive neural networks with time-varying impulses.Based on the memristor theory and neural network theory, the model of the memristor-based neural network is established.Different from the most publications on memristive networks with fixed-time impulse effects, we consider the case of time-varying impulses.Both the destabilizing and stabilizing impulses exist in the model simultaneously.Through controlling the time intervals of the stabilizing and destabilizing impulses, we ensure the effect of the impulses is stabilizing.Several sufficient conditions for the globally exponentially stability of memristive neural networks with time-varying impulses are proposed.The simulation results demonstrate the effectiveness of the theoretical results.

关键词： Memristive neural networks Time-varying impulses Time-varying delays Exponential stability

作者: Jiangtao Qi Chuandong Li Tingwen Huang

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: 81-88

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）