Synchronization Stability in an Array of Linearly Coupled Connected Neural Networks with Multiple Delays

摘要：

In this paper, synchronization stability problem for arrays of linearly coupled multiple delayed neural networks is studied on the basis of LMI method. The derived results greatly improve and generalize some earlier results. Some key problems between stability of recurrent neural networks and synchronization stability of arrays of coupled neural networks are discussed in some Remarks. A numerical example is used to illustrate the effectiveness of the derived results.

关键词： Synchronization stability arrays of coupled neural networks multiple delays global stability

作者: Zhanshan Wang Dakai Zhou Dawei Gong Xiangnan Zhong

作者单位: School of Information Science and Engineering, Northeastern University, Shenyang, 110004

会议类型: 国际会议

会议名称: The 24th Chinese Control and Decision Conference (第24届中国控制与决策学术年会 2012 CCDC)

会议地点: 太原

会议语种:英文

页码: 1875-1880

在线出版日期: 2012-05-23（万方平台首次上网日期，不代表论文的发表时间）