Multi-delay Dynamic Neural Group Network Global Asymptotic Stability and Synchronization State Analysis

摘要：

According to a multi-delay dynamic neural group network,the Lyapunov function is constructed firstly to achieve the judgment criteria of global asymptotical stability.Then,the synchronization states are analysized based on the complex coupled network-Through the Lyapunov stability theorem,the multi-delay dependent judgment criteria of synchronization states is presented.Finally,the controller is designed based on this structure.The simulation results demonstrate the effectiveness of this controller.

关键词： Multi-delay neural group network synchronization globally asymptotical stability

作者: Xiang Li Kai Li

作者单位: School of Information Science and Technology,Liaoning University,Shenyang,110036 Liaoning Province,C School of Mechanical Engineering,Shenyang University of Chemical Technology,Shenyang,110142 Liaoning

会议类型: 国际会议

会议名称: The 2nd IEEE International Conference on Advanced Computer Control(第二届先进计算机控制国际会议 ICACC 2010)

会议地点: 沈阳

会议语种:英文

页码: 234-238

在线出版日期: 2010-03-27（万方平台首次上网日期，不代表论文的发表时间）