Exponential $$p$$p-Synchronization of Non-autonomous Cohen–Grossberg Neural Networks with Reaction-Diffusion Terms via Periodically Intermittent Control

Exponential $$p$$p-Synchronization of Non-autonomous Cohen–Grossberg Neural Networks with Reaction-Diffusion Terms via Periodically Intermittent Control
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DOI:
10.1007/s11063-013-9313-x
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发表时间:
2014-10
影响因子:
3.1
通讯作者:
Jun Mei;Minghui Jiang;Bin Wang-;Qing Liu;Wangming Xu;Tao Liao
Jun Mei;Minghui Jiang;Bin Wang-;Qing Liu;Wangming Xu;Tao Liao
中科院分区:
计算机科学4区
文献类型:
--
作者:
Jun Mei;Minghui Jiang;Bin Wang-;Qing Liu;Wangming Xu;Tao Liao

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本文研究了使用周期性间歇反馈控制的一类具有混合延迟的随机非自主反应扩散 Cohen-Grossberg 网络的同步问题。利用一些分析方法,得到了一些基于范数的指数同步准则。这些证明间接推广了哈拉奈不等式,并促进了现有工作的证明处理。最后,给出了一个说明性例子来说明理论结果的有效性。
The problem of-synchronization for a class of stochastic non-autonomous reaction-diffusion Cohen–Grossberg networks with mixed delays by using periodically intermittent feedback control is investigated in this paper. Some exponential synchronization criteria based on-norm are obtained by utilizing some analysis methods. These proofs indirectly generalized the Halanay inequality and facilitated the proof processing of the existing works. Finally, an illustrative example is given to show the effectiveness of the theoretical results.