Global Exponential Stability in Lagrange Sense for a Class of Neural Networks with Reaction-Diffusion Terms

摘要：

With considering two types of bounded activation functions,the global exponential stability in Lagrange sense are considered for Cohen-Grossberg neural networks with time-varying delays and reaction-diffusion terms.By employing appropriate Lyapunov functions,Green formula and inequality techniques,several global exponential attractive sets are given in which all trajectories converge.The obtained results can also be applied to analyse monostable as well as multistable neural networks.

作者: LUO Qi ZHANG Yutian

作者单位: College of Information and Control,Nanjing University of Information Science and Technology,Nanjing, College of Mathematics and Physics,Nanjing University of Information Science and Technology,Nanjing,

会议类型: 国际会议

会议名称: The 30th Chinese Control Conference(第三十届中国控制会议)

会议地点: 烟台

会议语种:英文

页码: 1-5

在线出版日期: 2011-07-01（万方平台首次上网日期，不代表论文的发表时间）