Stability for Cellular Neural Networks with Delay

• 作 者: 杨金祥 钟守铭 鄢克雨
• 机 构: College of Computer Science and Technology, Southwest University for Nationalities Chengdu 610041 Ch
• 出 处: Journal of Electronic Science and Technology of China
• 发表日期: 2005年02期
• 关键词: asymptotically Liapunov diagonal proof boundedness utilizing constructing attrac

The cellular neural networks with delay (DCNN’s) are investigated, and some new sufficient conditions on asymptotical stability of DCNN’s are derived by constructing the Liapunov functional and utilizing M ? matrixand theω?limit set. It is shown that the new conditions are not related to the delayed parameter.

The cellular neural networks with delay (DCNN’s) are investigated, and some new sufficient conditions on asymptotical stability of DCNN’s are derived by constructing the Liapunov functional and utilizing M? Matrix and the?? Limit set. It is shown that the new conditions are not related to the delayed parameter.