一、基本资料
姓名：李健
职称/学位：副教授/博士
研究方向：神经动力学、机器人、深度强化学习
籍贯：河南潢川
邮箱：lijcit@xynu.edu.cn; 1511895678@qq.com
二、个人简历
李健，副教授，博士。主要从事神经动力学、机器人、深度强化学习方向研究，主持国家自然科学青年基金1项，主持博士后科学基金1项，参与国家自然科学基金面上项目1项，以第一作者发表SCI论文15篇，其中中科院1区论文6篇，授权发明专利1项。
三、学习工作经历
2010年9月—2014年6月 海南大学 计算机科学与技术 本科
2014年9月—2019年6月 中山大学 计算机科学与技术/信息与通信工程 硕博连读
2019年7月至今 信阳师范学院必赢nn699net 讲师/副教授
四、项目成果
1.机械臂控制中不同层时变问题求解的神经动力学研究（编号：62006205），国家自然科学基金，2021/01-2013/12，30万，主持
2.中国博士后科学基金第3批特别资助（站前），动态环境中强时空约束的舰载机保障作业调度研究（项目编号：2021TQ0299），2021.1.1-2022.12.31，18万，主持
3.基于高精度时间离散公式与神经动力学的未来时变问题求解，国家自然科学基金， 2020/01-2013/12，60万，参与
五、发表论文
[1] Jian Li, Yang Shi, Hejun Xuan. Unified model solving nine types of time-varying problems in the frame of zeroing neural network, IEEE Transactions on Neural Networks and Learning System, 2021, 32(5): 1896-1905.（中科院1区）
[2] Jian Li, Xinhui Zhu, Yang Shi, Jing Wang, Huaping Guo. Real-time robot manipulator tracking control as multilayered time-varying problem, Applied Mathematical Modelling 96 (2021) 355–366. （中科院1区）
[3] Jian Li, Yunong Zhang, Mingzhi Mao. Continuous and discrete zeroing neural network for different-level dynamic linear system with robot manipulator control, IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2020, 50: 4633-4642. （中科院1区）
[4] Jian Li, Mingzhi Mao, Yunong Zhang, Binbin Qiu. Different-level algorithms for control of robotic systems, Applied Mathematical Modelling, 2020, 77: 922-933. （中科院1区）
[5] Jian Li, Ruiling Yao, Yan Feng, Shasha Wang, Xinhui Zhu. Zeroing neural network for solving hybrid multilayered time-varying linear system, IEEE Access, 2020, 8: 199406-199414.（中科院2区）
[6] Jian Li, Yunong Zhang, Mingzhi Mao. General square-pattern discretization formulas via second-order derivative elimination for zeroing neural network illustrated by future optimization, IEEE Transactions on Neural Networks and Learning System, 2019, 30(3): 891-901.（中科院1区）
[7] Jian Li, Yunong Zhang, Mingzhi Mao. Five-instant type discrete-time ZND solving discrete time-varying linear system, division and quadratic programming, Neurocomputing, 2019, 331: 323-335. （中科院2区）
[8] Jian Li, Mingzhi Mao, Frank Uhlig, Yunong Zhang. A 5-instant finite difference formula to find discrete time-varying generalized matrix inverses, matrix inverses, and scalar reciprocals, Numerical Algorithms, 2019, 81: 609-629. （中科院2区）
[9] Jian Li, Yunong Zhang, Shuai Li, Mingzhi Mao. New discretization formula based zeroing dynamics for real-time tracking control of serial and parallel manipulators, IEEE Transactions on Industrial Informatics, 2018, 14(8): 3416-3425. （中科院1区）
[10] Jian Li, Mingzhi Mao, Frank Uhlig, Yunong Zhang. Z-type neural-dynamics for time-varying nonlinear optimization under a linear equality constraint with robot application, Journal of Computational and Applied Mathematics, 2018, 327: 155-166. （中科院2区）
[11] Jian Li, Mingzhi Mao, Yunong Zhang, Dechao Chen, Yonghua Yin. ZD, ZG and IOL controllers and comparisons for nonlinear system output tracking with DBZ problem conquered in different relative-degree cases, Asian Journal of Control, 2017, 19(4): 1482-1495. （中科院3区）
[12] Jian Li, Mingzhi Mao, Yunong Zhang. Simpler ZD-achieving controller for chaotic systems synchronization with parameter perturbation, model uncertainty and external disturbance as compared with other controllers, Optik, 2017, 131: 364-373. （中科院4区）
[13] Jian Li, Yang Shi, Yange Sun, Jianwei Fan, Mohammed Aquil Mirza, Noise-tolerant zeroing neural dynamics for solving hybrid multilayered time-varying linear equation system, Security and Communication Networks, 2022, 6040463, pp. 1-13. （中科院4区）
[14] Jian Li, Jianwei Fan, Xinhui Zhu, Yange Sun, Yanling Li, Stability-constraint-free solutions to solve time-varying linear equation system, IEEE Access, 2022, 10: 34228-34235. （中科院3区）
[15] Jian Li, Shuang Pan, Jingjing Chen, Wenjing Sun, Qing Chen, Zhipeng Fu, Time-varying matrix inversion based on Lagrange-type finite difference, IAENG International Journal of Applied Mathematics, 2022, 52(3): 1-10.（EI收录）
六、专利成果
[1] 李健、朱鑫辉、孙艳歌、张莉、王敬，一种基于多层结构的冗余度机械臂多任务控制方法，专利号：ZL2021103490341，2022年4月
