郑运军 博士、讲师

研究领域：机械系统动力学控制、滑模控制、自适应鲁棒控制

办公地点：创新大楼A-304

电子邮箱: yzheng@gzhu.edu.cn

个人简介：

郑运军，研究方向主要包括机械系统动力学控制、滑模控制、自适应鲁棒控制、博弈论优化等。发表高水平SCI论文12篇，授权专利5项；参与撰写机器人与机电系统动力学控制著作2部；参与陆航十三五预研项目、国家自然科学基金、安徽省科技攻关计划项目等研究工作。

教育背景:

◆2017-2024  合肥工业大学  机械工程学院 博士

◆2022-2024  Swinburne University of Technology(澳大利亚) 联合培养博士

◆2013-2017  合肥工业大学  机械工程学院 学士

职业经历:

2024.12-至今 广州大学 机械与电气工程学院 讲师

研究成果：

代表性学术论文：

[1]Zheng Y, Zheng J, Shao K, et al. Adaptive Trajectory Tracking Control for Nonholonomic Wheeled Mobile Robots: A Barrier Function Sliding Mode Approach[J]. IEEE/CAA Journal of Automatica Sinica, 2024, 11(04): 1007-1021.

[2]Zheng Y, Zheng J, Shao K, et al. Adaptive fuzzy sliding mode control of uncertain nonholonomic wheeled mobile robot with external disturbance and actuator saturation [J]. Information Sciences, 2024, 663:120303.

[3]Zheng Y, Zhao H, Zheng J, et al. Cooperative game-oriented optimal robust control for an uncertain wheeled mobile robot with position constraints[J]. Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, 2024, 238(10): 4662-4678.

[4]Zheng Y, Zhao H, He C. Nash game-based adaptive robust control design optimization for the underactuated mechanical system with fuzzy evidence theory[J]. Optimal Control Applications and Methods, 2023, 44(3): 1251-1277.

[5]Zheng Y, Zhao H, Zheng J, et al. Stackelberg-Game-Oriented Optimal Control for Bounded Constrained Mechanical Systems: A Fuzzy Evidence-Theoretic Approach [J]. IEEE Transactions on Fuzzy Systems, 2022, 30(9): 3559-3573.

[6]Zheng Y, Zhao H, He C. Robust control design with optimization for uncertain mechanical systems: Fuzzy set theory and cooperative game theory[J]. International Journal of Control, Automation and Systems, 2022, 20(4): 1377-1392.

[7]Zheng Y, Zhao H, He C, et al. Optimal Adaptive Robust Control for Uncertain Mechanical Systems: A Nash Game-Oriented Approach[J]. International Journal of Fuzzy Systems, 2022, 24(7): 3226-3243.

[8]Zheng Y, Zhao H, Zhen S, et al. Fuzzy-set theory based optimal robust constraint-following control for permanent magnet synchronous motor with uncertainties[J]. Control Engineering Practice, 2021, 115: 104911.