Adaptive Cluster Synchronization for Weighted Cellular Neural Networks with Time-Varying Delays

摘要：

　　In this paper,the adaptive cluster synchronization for weighted cellular neural networks with multiple time-varying delays is investigated.The weighted configuration matrix in the networks under consideration is time-varying,which does not need to satisfy the diffusive coupling conditions or be symmetric.Based on Lyapunov stability theory,Kronecker product,and adaptive control method an adaptive strategy is derived to ensure each node in the networks achieves the asymptotical cluster mean square synchronization.The numerical simulations are performed to verify the effectiveness of the theoretical results.

关键词： Adaptive cluster synchronization Weighted cellular neural networks Multiple time delays Lyapunov stability theorem

作者: Yuxiu Li Guoliang Cai

作者单位: School of Mechanical Engineering,Jiangsu University,Zhenjiang 212013,China Nonlinear Scientific Research Center,Jiangsu University,Zhenjiang 212013,China

会议类型: 国际会议

会议名称: The 2015 Chinese Intelligent Automation Conference(2015中国智能自动化会议)

会议地点: 福州

会议语种:英文

页码: 21-28

在线出版日期: 2015-05-08（万方平台首次上网日期，不代表论文的发表时间）