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  • 周伟松


     

    周伟松(1988-),男,博士,副教授,硕士生导师,重庆邮电大学理学院应用数学研究所。2016年在四川大学获理学博士学位。长期从事泛函微分方程、随机微分方程、格点动力系统、神经网络稳定性控制等方面研究。20169月以来先后主持国家青年基金项目1项、重庆市教委科研项目1项,国内外重要期刊发表论文10余篇,其中SCI/EI检索10篇次。

    1教育和工作经历:

    Ø  2018/12-至今     重庆邮电大学,理学院,副教授

    Ø  2019/1-2020/1     美国杨百翰大学,数学学院,访问学者,导师:吕克宁

    Ø  2013/92016/6, 四川大学, 应用数学, 博士, 导师:徐道义

    Ø  2010/92013/6, 重庆师范大学, 基础数学, 硕士, 导师:杨志春

    Ø  2006/92010/6, 上饶师范学院, 数学与应用数学, 学士

      2,主讲课程

    Ø  本科:高等数学,线性代数,概率论与数理统计,常微分方程等

    Ø  研究生:稳定性理论,脉冲控制理论,随机过程等

     

    3, 主持科研项目:

    Ø  国家自然科学青年基金项目,11701060,分数阶Brownian运动驱动的随机泛函发展方程解的定性分析,2018/01-2020/1223万元,主持

    Ø  重庆市教育委员会自然科学基金,KJ1704099,脉冲随机时Cohen-Grossberg神经网络的输入对状态稳定性分析,2017/01-2018/123万元,主持

    Ø  重庆邮电大学博士启动基金项目,A2016-80,随机神经网络的输入对状态稳定性分析,2016/10-2019/97万元,主持

    4,近期发表的科研论文如下:

    [1] Daoyi Xu, Weisong Zhou, Existence-uniqueness and exponential estimate of mild solutions of retarded evolution systems with a fractional Brownian motion, Discrete and Continuous Dynamical Systems Series A, 37(4) : 2161-2180 , 2017. (SCI)

    [2] L.G. Xu, W. Liu, H.X. Hu, Weisong Zhou (associated author), Exponential ultimate boundedness of fractional-order differential systems via periodically intermittent control, Nonlinear Dynamics, 96: 1665-1675, 2019. (SCI)

    [3] Weisong Zhou, L. Teng, Daoyi Xu, Mean-square exponentially input-to-state stability of stochastic Cohen-Grossberg neural networks with time-varying delays, Neurocomputing, 153: 54-61, 2015. (SCI)

    [4] Weisong Zhou, Zhichun Yang, Input-to-state stability for dynamical neural networks with time-varying delays, Abstr. Appl. Anal., 2012, 1-12. (SCI)

    [5] Weisong Zhou, Y. Zhao, Mean-square exponentially input-to-state stability of stochastic fuzzy Cohen-Grossberg neural networks with time-varying delays, Journal of Sichuan University (Natural Science Edition), 53 (4): 731-735, 2016.

    [6] Weisong Zhou, H. Zeng, D. Wu, Exponential input-tostate stability of stochastic fuzzy delayed Cohen-Grossberg neural networks under impulsive perturbations, In Proceedings of the 37th Chinese Control Conference, 1291-1296, 2018. (EI)

    [7] Weisong Zhou, Zhichun Yang, Exponential input-to-state stability of impulsive stochastic reaction-diffusion Cohen-Grossberg neural networks with time-varying coefficients and mixed delays, In Proceedings of the 8th Annual IEEE International Conference on CYBER Technology in Automation, Control, and Intelligent Systems, 1-6, 2018. (EI)

    [8] Weisong Zhou, D. Shi, Wei Zhu,Exponential input-to-state stability of impulsive stochastic fuzzy Cohen-Grossberg neural networks with distributed infinite transmission delays, In Proceedings of the 38th Chinese Control Conference, 5715-5720, 2019. (EI)

    [9]  Zhichun Yang, Weisong Zhou, Tingwen Huang, Input-to-state stability of delayed reaction-diffusion neural networks with impulsive effects, Neurocomputing, 333: 261-272, 2019. (SCI)

    [10]      J. Li, Weisong Zhou, Zhichun Yang, State estimation and input-to-state stability of impulsive stochastic BAM neural networks with mixed delays, Neurocomputing, 227: 37-45, 2017. (SCI)

    [11]      Zhichun Yang, Weisong Zhou, Tingwen Huang, Exponential input-to-state stability of recurrent neural networks with multiple time-varying delays, Cognitive Neurodynamics, 8: 47-54, 2014. (SCI)

    [12]      Zhichun Yang, Weisong Zhou, Input-to-state stability of impulsive hybrid systems with stochastic effects. In Proceeding of the 24th IEEE China Conference on Decision and Control, 2012, 186-291. (EI)

    [13]      Daoyi Xu, B. Li, S. Long, L. Teng, Weisong ZhouExistence and moment estimates for solutions to neutral stochastic functional differential equations, Ann. of Diff. Eqs. , 30 (1): 62-84, 2013.

    [14]     Y. Ren, W. Wang, Weisong Zhou, and M. Shen, Stochastic incremental H control for discrete-time switched systems with disturbance dependent noise, Information Sciences, 513: 519-535, 2020.

    [15]      Y. Ren, W. Wang, Y. Wang, Weisong Zhou, Exponentially incremental dissipativity for nonlinear stochastic switched systems, International Journal of Control, 1-14, doi: 10.1080/00207179.2018.1490033, 2018.

     

    联系方式:

    Email: zhouws@cqupt.edu.cn;zhouweisong9@163.com;

    地址:重庆邮电大学理学院 应用数学系 (数理学院3楼 301)