Qingxin Meng received his B.S. degree in Intelligent Science and Technology from Hebei University of Technology, Tianjin, China, in 2016, and the Ph.D. degree in Control Science and Engineering from China University of Geosciences, Wuhan, China, in 2021. From August 2019 to August 2021, he was a Research Intern with the Department of Mechanical, Industrial and Aerospace Engineering, Concordia University, Montreal, QC, Canada.

In 2022, Dr. Meng joined the School of Automation, China University of Geosciences, where he is currently a Professor. Up to now, he has been invited to serve as a reviewer for IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Industrial Electronics, IEEE Transactions on Systems, Man, and Cybernetics: Systems, Nonlinear Dynamics, IEEE/CAA Journal of Automatica Sinica, Mechanics of Advanced Materials and Structures, Assembly Automation, Control Theory & Application, etc. His current research interests include underactuated mechanical system control, flexible manipulator control, pneumatic soft robot, and intelligent control. 

Research Project

[1] Young Scientists Fund of the National Natural Science Foundation of China, 2023.01-2025.12, Under Research, Principle Investigator

[2] Postdoctoral Innovation Research Post Project in Hubei Province, 2022.04-2024.03, Under Research, Principle Investigator

[3] “CUG Scholar” Scientific Research Funds at China University of Geosciences (Wuhan) , 2022.03-2028.03, Under Research, Principle Investigator

[4] National Natural Science Foundation of China, 2023.01-2026.12, Under Research, Participant

[5] Outstanding Doctor Innovation Fund Project of China University of Geosciences (Wuhan) , 2019.05-2021.05, Completed, Principle Investigator

[6] National Natural Science Foundation of China, 2018.01-2021.12, Completed, Participant

[7] National Natural Science Foundation of China, 2014.01-2017.12, Completed, Participant

[8] Open Fund Project of Teaching Laboratory of China University of Geosciences (Wuhan), 2019.09-2021.05, Completed, Participant

Representative Publications 

[1] Qingxin Meng, Xuzhi Lai, Ze Yan, Chun-Yi Su, and Min Wu. Motion planning and adaptive neural tracking control of an uncertain two-link rigid-flexible manipulator with vibration amplitude constraint. IEEE Transactions on Neural Networks and Learning Systems, 2022, 33(8): 3814-3828.  (T1, IF: 14.255)

[2] Qingxin Meng, Xuzhi Lai, Ze Yan, and Min Wu. Tip position control and vibration suppression of a planar two-link rigid-flexible underactuated manipulator. IEEE Transactions on Cybernetics, 2022, 52(7): 6771-6783.  (T1, IF: 19.118)

[3] Qingxin Meng, Xuzhi Lai, Ze Yan, Yawu Wang, and Min Wu. Position control with zero residual vibration for two degrees-of-freedom flexible systems based on motion trajectory optimization. Information Sciences, 2021, 575: 698-713.  (T1, IF: 8.233)

[4] Qingxin Meng, Xuzhi Lai, Yawu Wang, and Min Wu. A fast stable control strategy based on system energy for a planar single-link flexible manipulator. Nonlinear Dynamics, 2018, 94(1): 615-626.  (T1, IF: 5.741)

[5] Qingxin Meng, Jundong Wu, Ze Yan, and Chun-Yi Su. Position control of a planar single-link flexible-link manipulator based on enhanced dynamic coupling model. IFAC-PapersOnLine, 2020, 53(2): 7777-7782.

[6] 孟庆鑫, 赖旭芝, 闫泽, 王亚午, 吴敏. 双连杆刚柔机械臂无残余振动位置控制. 控制理论与应用, 2020, 37(3): 620-628.

(Qingxin Meng, Xuzhi Lai, Ze Yan, Yawu Wang, and Min Wu. Position control without residual vibration for a two-link rigid-flexible manipulator. Control Theory & Applications, 2020, 37(3): 620-628.)

[7] Qingxin Meng, Xuzhi Lai, and Ze Yan. A control strategy with zero residual vibration for a planar single-link flexible manipulator. In proceedings of 37th Chinese Control Conference (CCC), 2018, 344-347.

[8] 孟庆鑫, 赖旭芝, 闫泽, 吴敏. 驱动器故障影响下柔性机械臂运动控制的进展与展望. 广东工业大学学报, 2022, 39(5): 9-20.

(Qingxin Meng, Xuzhi Lai, Ze Yan, and Min Wu. Progress and prospect of motion control for the flexible manipulator under the influence of actuator faults. Journal of Guangdong University of Technology, 2022, 39(5): 9-20.)

[9] 赵诗影, 闫泽, 孟庆鑫*, 肖怀, 赖旭芝, 吴敏. 基于宽度学习系统的气动波纹管驱动器无模型跟踪控制. 控制与决策, 2022, DOI: 10.13195/j.kzyjc.2022.0541.

(Shiying Zhao, Ze Yan, Qingxin Meng, Huai Xiao, Xuzhi Lai, and Min Wu. Model-free tracking control of pneumatic bellow actuator based on broad learning system, 2022, Control and Decision, DOI: 10.13195/j.kzyjc.2022.0541.)

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