Algebraic Conditions for Synchronization Stability of Memristive Neural Networks

摘要：

　　Memristive neural network is a special structure of the power system,Its stability plays a very important role in practical applications.In this paper,by analyzing the stability of the system and the synchronization of two memristive neural networks,we get a new stability and synchronization criterion with using lyapunov functional method and inequality method.In addition,the new proposed algebraic criteria are very easy to verify,and they also enrich and improve the earlier publications.

关键词： neural network Lyapunov functions Synchronization stability

作者: Chao Yang Kai Zhong Song Zhu Yi Shen

作者单位: College of Sciences,China University of Mining and Technology,Xuzhou,221116,P.R.China College of Sciences,China University of Mining and Technology,Xuzhou,221116,P.R.China;School of Safe School of Automation,Huazhong University of Science and Technology,Wuhan,430074,P.R.China

会议类型: 国际会议

会议名称: The 33th Chinese Control Conference第33届中国控制会议

会议地点: 南京

会议语种:英文

页码: 5055-5058

在线出版日期: 2014-07-28（万方平台首次上网日期，不代表论文的发表时间）