ZZU IRC Lab

Zhengzhou University Intelligent Robotics & Control Lab

关于我

1111Hi,我是王杰,王杰,工学博士,硕士生导师,郑州大学机械与动力工程学院讲师,主要研究方向为机器技术、鲁棒控制、强化学习、模型预测控制、优化算法等,相关研究成果在《IEEE/ASME Transactions on Mechatronics》、《IEEE Sensors Journal》等国际期刊上发表SCI论文10余篇。

工作联系: zzuwj@zzu.edu.cn

基本资料

办公地点 郑州大学机械与动力工程学院403室
联系方式 zzuwj@zzu.edu.cn
学科方向 智能机电技术
研究方向 机器人应用技术、机器狗、强化学习、模型预测控制

工作教育经历

年份 学校 学院 职位 专业
2011/09-2021/02 韩国釜山大学 机械工程学院 本、硕、博 控制自动化系统
2021/04–至今 郑州大学 机械与动力工程学院 讲师 智能机电研究所

科研项目

序号 类型 题目 年份 职位
1 企业委托项目 核电用冗余双驱齿轮传动控制系统开发 2023~2024 主持
2 国家重点研发 青年科学家项目 2023.12~2026.11 参与
3 省青年基金 上肢康复机器人相关 2025.1~2026.11 主持
4 企业委托项目 高频热合机自动化改造 2024.12~2025.11 主持
5 企业委托项目 辊压平直机自动化改造 2024.12~2025.11 主持

论文

[1]. Jie, W., Yudong, Z., Yulong, B., Kim, H. H., & Lee, M. C. (2020). Trajectory tracking control using fractional-order terminal sliding mode control with sliding perturbation observer for a 7-DOF robot manipulator. IEEE/ASME Transactions on Mechatronics, 25(4), 1886-1893. [2]. Kim, J., Jie, W., Kim, H., & Lee, M. C. (2021). Modified configuration control with potential field for inverse kinematic solution of redundant manipulator. IEEE/ASME Transactions on Mechatronics, 26(4), 1782-1790.

[3]. Xuan, W., Jian-She, G., Bo-Jie, H., Zong-Shan, W., Hong-Wei, D., & Jie, W. (2022). A lightweight modified YOLOX network using coordinate attention mechanism for PCB surface defect detection. IEEE sensors journal, 22(21), 20910-20920.

[4]. Jie, W., Cheol, L. M., Jaehyung, K., & Hee, K. H. (2021). Fast fractional-order terminal sliding mode control with rbfnn based sliding perturbation observer for 7-dof robot manipulator. IEEE Access, 9, 67117-67128.

[5]. 王宗山,丁洪伟,王杰等.基于正交设计的折射反向学习樽海鞘群算法[J].哈尔滨工业大学学报,2022,54(11):122-136.

[6]. 高建设,刘陆骐,王杰等.基于模糊控制的上肢康复机器人变导纳控制[J].郑州大学学报(工学版),2024,45(01):12-20.DOI:10.13705/j.issn.1671-6833.2024.01.002.

专利

| 1| CN118437872A .电热丝卷绕制形机(发明,实质审查)

| 2| CN118752525A.一种自主伸缩旋转的协作机器人的助力机构及控制方法(发明,实质审查)

About Me

Hi, I am Jie Wang , Ph.D. in Engineering, Master’s Supervisor, and Lecturer at the School of Mechanical and Power Engineering at Zhengzhou University. My main research areas include machine technology, robust control, reinforcement learning, model predictive control, optimization algorithms, etc. I have published more than 10 SCI papers in international journals such as IEEE/ASME Transactions on Mechatronics, IEEE Sensors Journal.

Contact: zzuwj@zzu.edu.cn

Basic Information

Office Location Room 403, School of Mechanical and Power Engineering, Zhengzhou University
Contact Information zzuwj@zzu.edu.cn
Discipline Direction Intelligent Mechatronics Technology
Research Interests Robotic Application Technology, Robotic Dog, Reinforcement Learning, Model Predictive Control

Work and Education Experience

Year University School Position Major
2011/09-2021/02 Pusan National University, Korea School of Mechanical Engineering Bachelor’s, Master’s, Ph.D. Control Automation Systems
2021/04–Present Zhengzhou University School of Mechanical and Power Engineering Lecturer Intelligent Mechatronics Institute

Research Projects

No. Type Title Year Position
1 Enterprise Commissioned Project Development of Redundant Dual-Drive Gear Transmission Control System for Nuclear Power 2023~2024 Principal Investigator
2 National Key R&D Program Young Scientist Project 2023.12~2026.11 Participant

Research Publications

[1]. Jie, W., Yudong, Z., Yulong, B., Kim, H. H., & Lee, M. C. (2020). Trajectory tracking control using fractional-order terminal sliding mode control with sliding perturbation observer for a 7-DOF robot manipulator. IEEE/ASME Transactions on Mechatronics, 25(4), 1886-1893.

[2]. Kim, J., Jie, W., Kim, H., & Lee, M. C. (2021). Modified configuration control with potential field for inverse kinematic solution of redundant manipulator. IEEE/ASME Transactions on Mechatronics, 26(4), 1782-1790.

[3]. Xuan, W., Jian-She, G., Bo-Jie, H., Zong-Shan, W., Hong-Wei, D., & Jie, W. (2022). A lightweight modified YOLOX network using coordinate attention mechanism for PCB surface defect detection. IEEE Sensors Journal, 22(21), 20910-20920.

[4]. Jie, W., Cheol, L. M., Jaehyung, K., & Hee, K. H. (2021). Fast fractional-order terminal sliding mode control with RBFNN based sliding perturbation observer for 7-DOF robot manipulator. IEEE Access, 9, 67117-67128.

[5]. Zongshan, W., Hongwei, D., & Jie, W. et al. (2022). Orthogonal design-based refractive reverse learning algorithm for Botryllus schlosseri swarm optimization. Journal of Harbin Institute of Technology, 54(11), 122-136.

[6]. Jianshe, G., Luqi, L., & Jie, W. et al. (2024). Variable admittance control of upper limb rehabilitation robot based on fuzzy control. Journal of Zhengzhou University (Engineering Edition), 45(01), 12-20. DOI: 10.13705/j.issn.1671-6833.2024.01.002.