Global Exponential Stability of Cellular Neural Networks with Delays and Impulses
In this paper, a new model of cellular neural networks involving variable delays and impulses are considered. Some new sufficient conditions for the existence and global exponential stability of a unique equilibrium of the impulsive delayed model are obtained, without assuming the boundedness, monotonicity or differentiability of the activation functions and subjected to impulsive state at fixed time. The results extend and improve the earlier publications.
cellular neural networks global exponential stability variable delays impulses Lyapunov function
EnBiao Zhang YanFeng Liu
Zhengzhou Information Science and Technology Institute Zhengzhou, China
国际会议
贵阳
英文
50-53
2011-01-26（万方平台首次上网日期，不代表论文的发表时间）