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。2016年9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****，导师：吕克宁
Ø 2013/9–2016/6， 四川大学， 应用数学， 博士， 导师：徐道义
Ø 2010/9–2013/6， 重庆师范大学， 基础数学， 硕士， 导师：杨志春
Ø 2006/9–2010/6， 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，**，分数阶Brownian运动驱动的随机泛函发展方程解的定性分析，2018/01-2020/12，23万元，主持
Ø 重庆市教育委员会自然科学基金，KJ**，脉冲随机时Cohen-Grossberg神经网络的输入对状态稳定性分析，2017/01-2018/12，3万元，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，2016/10-2019/9，7万元，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 37^th 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 8^th 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 38^th 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 Zhou，Existence 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/**.2018.**, 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）