个人简历
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,博士生导师,中国地质大学(武汉)地大学者-青年拔尖人才,IEEE/自动化学会会员。
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。主持国家自然科学基金面上项目和青年项目各1项,中央高校杰出人才培育基金项目1项。在 IEEE Transactions on Neural Networks and Learning Systems、IEEE Transactions on Fuzzy Systems、IEEE Transactions on Cybernetics、Neural Networks 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。
主讲本科生课程《计算机网络与工业互联网》、《智能制造大数据技术》,研究生课程《人工神经网络及应用》等。
英文 Researchgate 主页: https://www.researchgate.net/profile/Leimin_Wang
欢迎对控制理论和人工智能方向感兴趣的同学来我课题组攻读硕士博士!
主要研究方向
忆阻及忆阻系统,时滞神经网络理论及应用,混沌系统加密,有限时间控制等。具体分为:
1. 理论方向 忆阻神经网络、时滞神经网络动力学分析,忆阻混沌系统同步控制,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 神经网络及多智能体相关优化算法与应用,基于忆阻的深度学习,图像加密与联想记忆
教育经历
2012.09 - 2016.06,华中科技大学,控制科学与工程专业,博士
2011.09 - 2012.06,华中科技大学,概率论与数理统计专业,硕士(转硕博连读)
2007.09 - 2011.06,中南民族大学,数学与应用数学专业,学士
工作经历
2016.07 - 至今,中国地质大学(武汉),自动化学院,副教授
2018.12 - 2019.12,美国罗德岛大学,电气、计算机与生物医学工程系,访问学者
主持项目
1. 国家自然科学基金面上项目,2021.01-2024.12,主持,在研
2. 国家自然科学基金青年项目,2018.01-2020.12,主持,在研
3. 中央高校基本科研专项资金,2016.07-2019.06,主持,结题
近期部分代表性论文
(详见谷歌学术主页 https://scholar.google.com/citations?user=Ut_slLgAAAAJ&hl=en&oi=ao)
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, vol. 28, no. 9, pp. 2022-2034, Sep. 2020. (IF: 9.518)
2. Leimin Wang, Haibo He, and Zhigang Zeng, Intermittent stabilization of fuzzy competitive neural networks with reaction diffusions, IEEE Transactions on Fuzzy Systems, 2020, In press, doi: 10.1109/TFUZZ.2020.2999041.
3. Leimin Wang, Haibo He, Zhigang Zeng, and Cheng Hu, Global stabilization of fuzzy memristor-based reaction-diffusion neural networks, IEEE Transactions on Cybernetics, vol. 50, no. 11, pp. 4658-4669, Nov. 2020. (IF: 11.079)
4. 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.
5. 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, vol. 51, no. 2, pp. 905-915, Feb. 2021. (IF: 9.309)
6. Leimin Wang, Yi Shen, Quan Yin, Guodong Zhang. Adaptive synchronization of memristor-based neural networks with time-varying delays, IEEE Transactions on Neural Networks and Learning Systems, vol. 26, no. 9, pp. 2033-2042, Sep. 2015. (IF: 8.793,ESI高被引论文)
7. Leimin Wang, Yi Shen, Guodong Zhang. Finite-time stabilization and adaptive control of memristor-based delayed neural networks, IEEE Transactions on Neural Networks and Learning Systems, vol. 28, no. 11, pp. 2648-2659, Nov. 2017.
8. Leimin Wang, Yi Shen. Finite-time stabilizability and instabilizability of delayed memristive neural networks with nonlinear discontinuous controller, IEEE Transactions on Neural Networks and Learning Systems, vol. 26, no. 11, pp. 2914-2924, Nov. 2015.
9. Leimin Wang, Tiandu Dong, Ming-Feng 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. (IF: 3.472,ESI高被引论文,2019.11数据)
10. Leimin Wang, Yi Shen, Guodong 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.
11. Leimin Wang, Zhigang Zeng, Ming-Feng Ge, Junhao Hu. Global stabilization analysis of inertial memristive recurrent neural networks with discrete and distributed delays, Neural Networks, vol. 105, pp. 65-74, Sep. 2018. (IF: 5.535)
12. 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.
13. Leimin Wang, Yi Shen, Yin Sheng. Finite-time robust stabilization of uncertain delayed neural networks with discontinuous activations via delayed feedback control, Neural Networks, vol. 76, pp. 46-54, Apr. 2016.
14. 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. (IF: 5.91)
15. Leimin Wang, Zhigang Zeng, Xiaofeng Zong, Ming-Feng Ge, Finite-time stabilization of memristor-based inertial neural networks with discontinuous activations and distributed delays, Journal of the Franklin Institute, vol. 356, no. 6, pp. 3628-3643, Apr. 2019. (IF: 4.036)
部分会议论文
1. Geliang Wan, Leimin Wang, Huayu Zou, Shan Jiang, A new model of associative memory neural network based on an improved memristor, Proceedings of the 39th Chinese Control Conference (CCC) (pp. 7589-7594), IEEE, Shenyang, Jul. 27-29, 2020. (EI)
2. Shan Jiang, Leimin Wang, Geliang Wan, Fixed-time synchronization of fifth-order memristor chaotic systems, Chinese Automation Congress (CAC) (pp. 6874-6879), IEEE, Shanghai, Nov. 6-8, 2020.(EI)
发明专利和软件著作权
1. 一种基于忆阻的神经网络联想记忆方法,ZL201910463046.X
2. 一种基于忆阻神经网络的联想记忆情感识别电路,ZL201910324683.9
3. 基于忆阻混沌系统有限时间同步的图像传输方法及系统,ZL201811348133.2
4. 忆阻器仿真实验平台软件V1.0. 登记号: 2018SR1033658
5. 一种基于忆阻混沌系统的图像加密-解密软件V1.0. 登记号: 2020SR0600755
6. 忆阻神经网络联想记忆仿真软件V1.0. 登记号: 2019SR0479918
7. 忆阻联想记忆仿真实验平台软件[简称: MSES]V1.0. 登记号: 2020SR0008039
8. 群集智能复杂多算法仿真实验平台[简称: SCMA]V1.0. 登记号: 2020SR1671970
团队介绍
网络化系统理论与应用科研团队
以网络化系统为主要对象,研究考虑网络诱导现象、通讯协议等复杂网络环境的理论方法及其应用,包括:时滞系统分析与设计;复杂网络系统的分析与设计;忆阻神经网络分析、设计与应用;智能电网分析与控制。
团队成员:何勇教授,张传科教授,万雄波副教授,徐达副教授
联系方式
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