一类具有混合时滞和leakage时滞的随机反应扩散神经网络在间歇控制下的指数同步（英文）

发布时间：2018-06-20 16:04

本文选题：指数同步 + 空间扩散　；参考：《黑龙江大学自然科学学报》2017年04期

【摘要】：研究一类具有混合时滞和leakage时滞的随机反应扩散神经网络在间歇控制下的全局指数同步问题。构造适当的Lyapunov泛函,结合随机分析的技巧,得到系统在周期性间歇控制下实现指数同步的条件。与已有的结论相比,本结果去掉了对混和时滞的限制条件,降低了同步条件的保守性。数值模拟验证了所得结论的有效性。
[Abstract]:The global exponential synchronization problem for a class of stochastic reaction-diffusion neural networks with mixed delay and leakage delay under intermittent control is studied. An appropriate Lyapunov functional is constructed and the condition of exponential synchronization under periodic intermittent control is obtained by combining the technique of stochastic analysis. Compared with the existing results, the proposed results remove the constraints on mixed delays and reduce the conservatism of synchronization conditions. The validity of the conclusion is verified by numerical simulation.
【作者单位】：军械工程学院应用数学研究所;
【基金】：Supported by the National Natural Science Foundation of China(11371368;61305076) the Basic Courses Department of Mechanical Engineering College Foundation(Jcky1507)
【分类号】：O175

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