摘要
研究了一类具有时滞和脉冲的中立型神经网络指数同步问题.通过利用一个奇异时滞微分不等式和M-锥理论,获得了保证其误差系统全局p-指数同步的充分条件,同时也给出了同步指数收敛速率的估计.
This paper researches a global p-exponential synchronization for a kind of neural networks with time-varying delays and impulses. By using a singular impulsive delay differential inequality and M-cone theory,this paper obtains a set of sufficient conditions to guarantee the global p-exponential synchronization for the error system,and puts for ward the estimation of the synchronization exponen-tial convergence rate as well.
出处
《柳州师专学报》
2015年第3期102-109,共8页
Journal of Liuzhou Teachers College
基金
广西高校科学技术研究项目(2013YB282
YB2014468)
关键词
时滞
脉冲
中立型神经网络
全局p-指数同步
M-锥理论
time-varying delay
impulses
neutral neural networks
global p-exponential synchronization
M-cone theory
time-varying delay
impulses
neutral neural networks
global p-exponential synchronization
M-cone theory
