卢春阁

发布者:王玺发布时间:2017-04-10浏览次数:1632

姓名:卢春阁


职 称:讲师

详细信息:

  1. 学历与工作简历:

    2014年毕业于中国海洋大学,获得理学博士学位;

    2001年至今在中国海洋大学数学科学学院工作。

  2. 教学工作:

    本科生课程:《概率统计》

    研究生课程:《动力系统基础》

  3. 研究方向及在研项目:

    主要研究方向:动力系统与神经网络

  4. 获奖项目及奖励等级、荣誉称号:

  5. 发表文章及论著等:

1. 卢春阁,王林山. 具有Leakage变时滞的脉冲反应扩散神经网络的鲁棒指数稳定性,中国海洋大学学报自然科学版, 251(46), (2016), pp:146-150.

2. Chunge Lu, Linshan Wang. Robust Exponential Stability of Impulsive Stochastic Neural Networks with Leakage Time-Varying Delay. Abstract and Applied Analysis,Volume 2014.(SCI)

3. Chunge Lu, Linshan Wang. Exponential stability of stochastic MJSNNs with partly unknown transition probabilities. In: Proceedings of the 2013 International Conference on Intelligent Control and Information Processing. Beijing, P. R. China, 2013, pp. 730-735. (EI)

4. Chunge Lu, Linshan Wang. Global exponential robust stability of stochastic reaction–diffusion static neural networks with mixed time delays. In: Proceedings of the 2013 9th International Conference on Natural Computation. Shengyang, P. R. China, 2013: 13-18.EI

5. Chunge Lu, Linshan Wang, Ruojun Zhang. Existence and global exponential stability of anti-periodic solution for delayed neural networks with impulses. In: Proceedings of the 5th International Congress on Mathematical Biology. Nanjing, P. R. China, 2011pp. 194–200.

6. 张若军, 孟艳双,卢春阁. 时滞Hopfield神经网络的概周期解,中国海洋大学学报,456),2015pp.128-131.

7. Yangfan Wang, Chunge Lu, Guangrong Ji, Linshan Wang. Global exponential stability of high-order Hopfield -type neural networks with S-type distributed time delays. Communications in Nonlinear Science and Numerical Simulation, 2011, 16:8, (2011), pp. 3319–3326. (SCI)