摘要
本文主要研究脉冲多比例时滞细胞神经网络的全局指数稳定性.通过Lyapunov函数以及Young不等式,并基于n维实向量空间中的l^c-范数,我们得到细胞神经网络全局指数稳定的充分条件,最后我们用一个例子以及它的仿真来证明我们方法的有效性.
This paper investigates global exponential stability of impulsive and multi-proportional delayed cellular neural networks. By means of Lyapunov function and Young inequality, we provide a sufficient condition to the global exponential stability of CNNs, which is based on l^c -norm of n - dimensional real vector space R^n. Finally, an example with its simulation is presented to illustrate that our method is effective.
出处
《安徽师范大学学报(自然科学版)》
CAS
2017年第4期330-335,共6页
Journal of Anhui Normal University(Natural Science)
基金
The Youth Science and Technology Nova Program of Shanxi Province(2014KJXX-55)
The Special Fund for Basic Scientific Research of Central Colleges in Chang'an University(310812163504)