Wang Leimin
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王雷敏,男,1989年生,湖北武汉人。现为中国地质大学(武汉)自动化学院副教授,硕士生导师,中国地质大学(武汉)地大学者-青年优秀人才计划入选者,IEEE Member。

    2016年06月于华中科技大学自动化学院(现人工智能与自动化学院)获工学博士学位,2016年07月入职中国地质大学自动化学院。现主持国家自然科学基金青年基金项目1项,中央高校杰出人才培育基金项目1项。在 IEEE TNNLS, IEEE TCYB, IEEE TFS, NNs 等神经网络、人工智能和自动控制领域相关国际顶级学术期刊发表SCI论文三十余篇。发表论文Google学术引用800余次、H指数17,曾入选ESI前1%高被引论文4篇。申请发明专利4项,获批软件著作权3项。

    主要讲授本科生课程《制造过程大数据技术》、《计算机网络与工业互联网》,研究生课程《人工神经网络理论及应用》等。


英文 Researchgate 主页: https://www.researchgate.net/profile/Leimin_Wang


主要研究方向

忆阻及忆阻系统,神经网络,有限时间控制等。具体分为:

1. 理论方向    忆阻神经网络、忆阻混沌系统动力学行为分析,非线性多智能体、机器人有限时间控制,不连续系统稳定及同步

2. 应用方向    基于忆阻的深度学习,忆阻混沌系统图像加密,忆阻神经网络联想记忆,神经网络及多智能体相关优化算法与应用

 

主持项目

1. 国基金青年项目,具有混合多时滞的忆阻神经网络稳定性分析与有限时间控制,61703377,2018.01-2020.12

2. 中央高校基本科研专项资金,忆阻神经系统动态行为分析与有限时间控制,CUG170632,2016.09-2019.06


代表性一作论文

1. Leimin Wang, Haibo He, and Zhigang Zeng, Global synchronization of fuzzy memristive neural networks with discrete and distributed delays, IEEE Transactions on Fuzzy Systems, 2019, In press, doi: 10.1109/TFUZZ.2019.2930032.

2. Leimin Wang, Haibo He, Zhigang Zeng, and Cheng Hu, Global stabilization of fuzzy memristor-based reaction-diffusion neural networks, IEEE Transactions on Cybernetics, 2019, In press, doi: 10.1109/TCYB.2019.2949468.

3. Leimin Wang, Haibo He, Zhigang Zeng, and Ming-Feng Ge, Model-independent formation tracking of multiple Euler-Lagrange systems via bounded inputs, IEEE Transactions on Cybernetics, 2019, In press, doi: 10.1109/TCYB.2019.2938398.

4. Leimin Wang, Zhigang Zeng, and Ming-Feng Ge. A disturbance rejection framework for finite-time and fixed-time stabilization of delayed memristive neural networks. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2019, doi:10.1109/TSMC.2018.2888867.

5. Leimin Wang, Mingfeng Ge, Junhao Hu, Guodong Zhang, Global stability and stabilization for inertial memristive neural networks with unbounded distributed delays, Nonlinear Dynamics, vol. 95, no. 2, pp. 943-955, 2019.

6. Leimin Wang, Tiandu Dong, Mingfeng Ge, Finite-time synchronization of memristor chaotic systems and its application in image encryption, Applied Mathematics and Computation, vol. 347, pp. 293-305, Apr. 2019. (ESI高被引论文,2019.11数据)

7. Leimin Wang, Ming-Feng Ge, Zhigang Zeng, Junhao Hu. Finite-time robust consensus of nonlinear disturbed multiagent systems via two-layer event-triggered control, Information Sciences, vol. 466, pp. 270-283, Oct. 2018.

8. Leimin WangZhigang ZengMing-Feng GeJunhao Hu. Global stabilization analysis of inertial memristive recurrent neural networks with discrete and distributed delays, Neural Networksvol. 105pp. 65-74Sep. 2018.

9. Leimin WangYi ShenGuodong Zhang. Finite-time stabilization and adaptive control of memristor-based delayed neural networks, IEEE Transactions on Neural Networks and Learning Systemsvol. 28no. 11pp. 2648-2659Nov. 2017. (校科发院主页介绍 http://kjc.cug.edu.cn/info/1191/2781.htm

10. Leimin Wang, Zhigang Zeng, Junhao Hu, Xiaoping Wang. Controller design for global fixed-time synchronization of delayed neural networks with discontinuous activations, Neural Networks, vol. 87, pp. 122-131, Mar. 2017.

11. Leimin WangYi ShenGuodong Zhang. Synchronization of a class of switched neural networks with time-varying delays via nonlinear feedback control, IEEE Transactions on Cybernetics, vol. 46, no. 10, pp. 2300-2310, Oct. 2016.

12. Leimin Wang,Yi ShenYin Sheng. Finite-time robust stabilization of uncertain delayed neural networks with discontinuous activations via delayed feedback control, Neural Networks, vol. 76, pp. 46-54Apr. 2016.

13. Leimin WangYi Shen. Finite-time stabilizability and instabilizability of delayed memristive neural networks with nonlinear discontinuous controller, IEEE Transactions on Neural Networks and Learning Systemsvol. 26no. 11pp. 2914-2924Nov. 2015.

14. Leimin WangYi ShenZhixia Ding. Finite time stabilization of delayed neural networks, Neural Networks, vol. 70pp. 74-80Oct. 2015.

15. Leimin Wang,Yi ShenQuan YinGuodong Zhang. Adaptive synchronization of memristor-based neural networks with time-varying delays, IEEE Transactions on Neural Networks and Learning Systemsvol. 26no. 9pp. 2033-2042, Sep. 2015. 

 

  • Education Background
  • Work Experience
2012-9 | 2016-6
  • 华中科技大学
  • 控制科学与工程
  • Faculty of Higher Institutions
  • Doctoral Degree in Engineering

2011-9 | 2012-6
  • 华中科技大学
  • 概率论与数理统计
  • With Certificate of Graduation for Study as Master's Candidates
  • (硕博连读)

2007-9 | 2011-6
  • 中南民族大学
  • 数学与应用数学
  • With Certificate of Graduation for Undergraduate Study
  • 理学学士

  • Social Affiliations
  • Research Focus
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Personal information

Associate professor
Supervisor of Master's Candidates

Honors and Titles : Chinese Association of Automation (CAA) Outstanding Doctorate Dissertation Nomination, 2017

Gender : Male

Alma Mater : Huazhong University of Science and Technology

Education Level : Faculty of Higher Institutions

Degree : Doctoral Degree in Engineering

School/Department : School of Automation

Date of Employment : 2016-07-01

Discipline : Control Science and Engineering

Business Address : Information Building, Room 207

Contact Information : wangleimin@cug.edu.cn

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