Global exponential stability and global attractivity of impulsive Hopfield neural networks with time delays
Global exponential stability and global attractivity of impulsive Hopfield neural networks with time delays
复制标题
时滞脉冲Hopfield神经网络的全局指数稳定性和全局吸引力
DOI:
10.1016/j.cam.2009.02.094
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发表时间:
2009-09
期刊:
影响因子:
--
通讯作者:
Xilin Fu(傅希林)
中科院分区:
文献类型:
--
作者:
Xiaodi Li;Xilin Fu(傅希林)
In this paper, by means of constructing the extended impulsive delayed Halanay inequality and by Lyapunov functional methods, we analyze the global exponential stability and global attractivity of impulsive Hopfield neural networks with time delays. Some new sufficient conditions ensuring exponential stability of the unique equilibrium point of impulsive Hopfield neural networks with time delays are obtained. Those conditions are more feasible than that given in the earlier references to some extent. Some numerical examples are also discussed in this work to illustrate the advantage of the results we obtained.
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