Ding Tengfei, PhD, is a Senior Engineer (Associate) and Master Supervisor at China University of Geosciences (Wuhan).
He is mainly engaged in the learning, control, and optimization of distributed networked systems, as well as their applications in smart grids and unmanned system clusters, and the design of complex electromechanical products. He has successively presided over the Youth Project of the National Natural Science Foundation of China, the project supported by the Fundamental Research Funds for the Central Universities, Key Laboratory Development Fund Project of the Ministry of Education, and the projects entrusted by enterprises and institutions, and has also participated in the project of national key research and development plan, key program and general program of the National Natural Science Foundation of China, and the general program of Natural Science Foundation of Hubei Province. He has published more than 30 papers in high level journals (including 11 in IEEE Trans and 1 in Automation) and served as a reviewer for multiple international academic journals such as IEEE TII, IEEE T. Cybern, IEEE TNNLS, T-MECH, and IEEE SMCA.
Home Page: https://www.researchgate.net/profile/Teng-Fei-Ding
E-mail: dingtf@cug.edu.cn
Main Experiences:
2024/01-present: Senior Engineer (Associate) at the Mechanical Engineering Experimental Teaching Center, China University of Geosciences (Wuhan)
2018/01-2023/12: Engineer at the Mechanical Engineering Experimental Teaching Center, China University of Geosciences (Wuhan)
2014/09-2017/12: Assistant engineer at the Mechanical Engineering Experimental Teaching Center, China University of Geosciences (Wuhan)
2018/07-2022/06: PhD in Geological Equipment Engineering, China University of Geosciences (Wuhan)
2011/09-2014/06: Master in Mechanical Engineering, China University of Geosciences (Wuhan)
2007/09-2011/06: Bachelor in Mechanical Design, Manufacturing and Automation, China University of Geosciences (Wuhan)
Research Fields:
1) Automation and artificial intelligence: learning, control, and optimization of distributed networked systems and their applications in smart grids and unmanned system clusters
2) Complex electromechanical equipment: geological equipment, medical equipment, electromechanical product design, etc.
Scientific Research Projects:
1. Youth Project of the National Natural Science Foundation of China: Scheduled-time formation control for networked robotic systems under actuator saturation constraints, PI, under study
2. Project of State Grid Electric Power Research Institute Wuhan Efficiency Evaluation Company Limited: Study on the presentation method of carbon emissions heat map, PI, under study
3. Open Fund of the Key Laboratory of Image Information Processing and Intelligent Control, Ministry of Education: Scheduled-time control of intelligent unmanned cluster systems under human-machine collaboration, PI, under study
4. Project supported by the Fundamental Research Funds for the Central Universities: Research on the structural dynamic characteristics of VMC1000B vertical machining center, PI, concluded
5. Key Project of the National Natural Science Foundation of China: Autonomous collaboration and gaming of hybrid intelligent unmanned systems, top 3 of the unit, under study
6. General Program of the National Natural Science Foundation of China: Collaborative control and optimization design of multi-dimensional cluster intelligent network based on cloud architecture, top 3, under study
7. General program of Hubei Province: Collaborative multi-robot intelligent control for production line intensive operations, top 2, concluded
8. University Cooperation Project: Full-process and multi-link digital co-design process and technical methods, top 2, concluded
Representative Papers:
[1] Teng-Fei Ding, Ming-Feng Ge, Caihua Xiong, Zhi-Wei Liu, Guang Ling. Prescribed-time formation tracking of second-order multi-agent networks with directed graphs. Automatica, 2023,152,110997. (T1)
[2] Teng-Fei Ding, Han-Yu Zhang, Ming-Feng Ge, Zhi-Wei Liu. Predefined-time fuzzy reinforcement learning control for secure surrounding formation of NMSVs with DoS attacks, IEEE Transactions on Fuzzy Systems, 2024, 32(7): 4121-4132. (T1)
[3] Teng-Fei Ding, Ming-Feng Ge, Zhi-Wei Liu, Yan-Wu Wang, Hamid Reza Karimi. Lag-bipartite formation tracking of networked robotic systems over directed matrix-weighted signed graphs. IEEE Transactions on Cybernetics, 2022, 52(7): 6759 - 6770. (T1)
[4] Teng-Fei Ding, Ming-Feng Ge, Cai-Hua Xiong, Ju H Park. Bipartite consensus for networked robotic systems with quantized-data interactions. Information Sciences, 2020, 511: 229-242. (T1)
[5] Teng-Fei Ding, Kun-Ting Xu, Ming-Feng Ge, Ju H. Park, Chang-Duo Liang. Fast fixed-time output multi-formation tracking of networked autonomous surface vehicles: A mathematical induction method. IEEE Transactions on Vehicular Technology, 2023, 72(5):5769-5781. (T2)
[6] Teng-Fei Ding, Ming-Feng Ge, Zhi-Wei Liu, Ming Chi, Choon Ki Ahn. Cluster time-varying formation-containment tracking of networked robotic systems via hierarchical prescribed-time eso-based control. IEEE Transactions on Network Science and Engineering, 2024, 11(1): 566-577. (T2)
[7] Teng-Fei Ding, Li-Ping Song, Ming-Feng Ge, Zhi-Wei Liu, Ming Chi. Practical resource allocation of networked Euler-Lagrange agents with quantized-data interactions and arbitrary bounded uncertainties. IEEE Transactions on Network Science and Engineering, 2024, 11(2): 1442-1453. (T2)
[8] Teng-Fei Ding, Ming-Feng Ge, Zhi-Wei Liu, Leimin Wang, Jie Liu. Reinforcement learning formation tracking of networked autonomous surface vehicles with bounded inputs via cloud-supported communication, IEEE Transactions on Intelligent Vehicles, 2024, 9(1): 469-480. (T1)
[9] Teng-Fei Ding, Han-Yu Zhang, Ming-Feng Ge, Wen-ao Cao, Zhi-Wei Liu. Secure formation tracking of networked MSVs under actuator constraints and dos attacks: data-driven observer-based control, IEEE Transactions on Intelligent Vehicles, 2024, doi: 10.1109/TIV.2024.3428638. (T1)
[10] Teng-Fei Ding, Ming-Feng Ge, Zhi-Wei Liu, Yan-Wu Wang, Hamid Reza Karimi. Discrete-communication-based bipartite tracking of networked robotic systems via hierarchical hybrid control. IEEE Transactions on Circuits and Systems I: Regular Papers, 2020, 67(4): 1402-1412. (T2)
[11] Teng-Fei Ding, Kang Zhou, Ming-Feng Ge, Xiang Lu, Guang Ling. Fully distributed practical bipartite formation tracking of networked Lagrangian systems with actuator faults and bounded inputs. International Journal of Control, 2023, 96(11): 2928-2936. (T2)
[12] Teng-Fei Ding, Ming-Feng Ge, Caihua Xiong, Zhi-Wei Liu, Guang Ling. FSG-based divinable time-varying formation tracking of multiple Lagrangian agents with unknown disturbances and directed graphs. ISA Transactions, 2023, 132: 278-291. (T2)
[13] Teng-Fei Ding, Ming-Feng Ge, Cai-Hua Xiong, Ju H Park, Min Li. Second-order bipartite consensus for networked robotic systems with quantized-data interactions and time-varying transmission delays. ISA Transactions, 2021, 108: 178-187. (T2)
[14] Teng-Fei Ding, Li-Ping Song, Ming-Feng Ge. Quantized-data resource allocation for reinforcement learning cooperative control of networked Euler-Lagrange agents with input saturation. Journal of the Franklin Institute, 2023, 360, 12076-12100. (T2)
[15] Teng-Fei Ding, Qiu-Yue Zhang, Ming-Feng Ge, Jie Liu, Ju H. Park. Observer-based fixed-time task-space cooperative tracking control of networked Lagrangian agents with quantized communication. International Journal of Robust and Nonlinear Control, 2024, doi: 10.1002/rnc.7509. (T2)
[16] Jing Fu, Teng-Fei Ding, Ming-Feng Ge, Leimin Wang, Zhi-Wei Liu. Force-reflecting event-triggered predefined-time cooperative control for teleoperation of NMMs via data-driven based observer. Control Engineering Practice, 2023, 140, 105664. (T1)
[17] Si-Sheng Liu, Teng-Fei Ding, Ming-Feng Ge, Xiao-gang Dong, Zhi-Wei Liu. Multi-quadrotor formation tracking with mixed constraints: A hierarchical rolling optimization approach. IEEE Transactions on Aerospace and Electronic Systems, 2023, 59(5), 7269-7280. (T2)
[18] Teng-Fei Ding, Xiao-Yong, Li, Xin-Jing He, et al. Scheme design on automatic pipe replacement device and control system of spiral anchoring rig. Mining & Processing Equipment, 2019, 47 (03): 1-4.
[19] Teng-Fei Ding, Bo Zhou, Chang-Ping Li, et al. Design and application of automatic feeding device based on hacksawing machine. Modern Manufacturing Engineering, 2018, (10): 140-143.
[20] Teng-Fei Ding, Bo Li, Xi-Lin Wang, et al. Research on Dynamic Characteristic of a Vertical Machining Center Structure. Machine Tool & Hydraulics, 2018, 46 (17): 146-150.
[21] Teng-Fei Ding, Tian-Fu Zhou, Bo Li, et al. The design and implementation of automatic warehouse for long steel. Manufacturing Automation, 2018, 40 (06): 123-126.
Representative Granted Patents:
1. Quick clamping adjustable ratchet wrench, intention patent, granted, grant No.: ZL201510118737.8
2. A quick-combination flexible fixture for machining large-size flat workpieces, intention patent, granted, grant No.: ZL201610296589.3
3. Automatic warehouse for long steel, intention patent, granted, grant No.: ZL201810079679.6.
4. Automatic drill rod box for spiral anchor drilling rigs and its operation method, intention patent, granted, grant No.: ZL2018 10203087.0.
5. A multi-objective tracking control method for heterogeneous multi-robot systems, intention patent, granted, grant No.: ZL201811540770.X.
6. A neural adaptive fixed-time control method for complex teleoperation techniques, intention patent, granted, grant No.: ZL202010178981.4.
Student Awards in Competitions:
As an instructor, he guided students to participate in the National Undergraduate Engineering Training Integration Ability Competition (3 provincial second prizes and 3 provincial third prizes) and the National Undergraduate Mechanical Innovation Competition (1 provincial second prize and 1 provincial third prize).
