时延细胞神经网络全局渐近稳定性的一个充分条件

A Sufficient Condition for the Global Asympototic Stability of Delayed Cellular Neural Networks

基于Lyapunov方法和不等式分析技巧,讨论了一类时延细胞神经网络(DCNN)全局渐近稳定性问题,给出了一个新的充分判据,该判据可用于设计出全局稳定的神经网络.

This paper analyses further the global asympototic stability of a class of delayed cellular neural networks based on Lyapunov method and inequality analysis technique and a new sufficient criterion is obtained which can be used in the design of globally stable networks.