丁腾飞

发布人:王懿鸿发表时间:2024-12-23点击:

说明: DSC_0318

个人简介:

丁腾飞,博士,必赢766net手机版(武汉)高级工程师(副高)、硕士生导师。

主要从事分布式网络化系统学习、控制和优化及其在智能电网和无人系统集群中的应用、复杂机电产品设计。先后主持国家自然科学基金青年项目、中央高校科研基金项目、教育部重点实验室开发基金项目、企事业委托课题等多个项目,参与国家重点研发计划项目、国家自然科学重点基金项目、面上基金项目、湖北省自然科学面上基金项目等。发表高水平期刊论文30余篇(其中IEEE Trans汇刊11篇和Automatica1篇),担任IEEE TIIIEEE T. CybernIEEE TNNLST-MECHIEEE SMCA等多个国际学术期刊的审稿人。

主页:https://www.researchgate.net/profile/Teng-Fei-Ding

E-maildingtf@cug.edu.cn

主要经历:

2024.01-至今,必赢766net手机版(武汉),机械工程实验教学中心,高级工程师(副高)

2018.01-2023.12必赢766net手机版(武汉),机械工程实验教学中心,工程师

2014.09-2017.12:必赢766net手机版(武汉),机械工程实验教学中心,助理工程师

2018.07-2022.06:必赢766net手机版(武汉),地质装备工程,博士

2011.09-2014.06:必赢766net手机版(武汉),机械工程,硕士

2007.09-2011.06:必赢766net手机版(武汉),机械设计制造及其自动化,学士

研究方向:

1)自动化与人工智能:分布式网络化系统学习、控制和优化及其在智能电网和无人系统集群中的应用

2)复杂机电装备:地质装备、医疗装备、机电产品设计等

科研项目:

1国家自然科学基金青年项目:执行器饱和约束下网络化机器人系统的预定时间编队控制,主持,在研

2、国网电力科学研究院武汉能效测评有限公司项目:碳排放热力图的展示方法研究,主持,在研

3、图像信息处理与智能控制教育部重点实验室开放基金:人机协作下智能无人集群系统的预定时间控制,主持,在研

4、中央高校基本科研业务费专项资金项目,VMC1000B立式加工中心的结构动态特性研究,

主持,已结题

5、国家自然科学基金重点项目,混杂智能无人系统的自主协同与博弈,单位前3,在研

6、国家自然科学基金面上项目,基于云架构的多维度群集智能网络的协同控制与优化设计,前3,在研

7、湖北省面上项目,面向生产线密集型作业的协作多机器人智能控制,前2,已结题

8高校合作项目,全流程多环节数字化协同设计流程与技术方法,2,已结题

代表性论文:

[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. Automatica2023,152,110997.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 attacksIEEE 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, 2023132: 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, doi10.1002/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] 丁腾飞,李晓勇,贺新敬等. 螺旋式锚固钻机自动换杆装置与控制系统的方案设计. 矿山机械, 2019, 47 (03): 1-4.

[19] 丁腾飞,周波,李昌平等. 某弓锯床的自动送料装置设计与应用. 现代制造工程, 2018, (10): 140-143.

[20] 丁腾飞,李波,王锡霖等. 某型立式加工中心结构动态特性研究. 机床与液压, 2018, 46 (17): 146-150.

[21] 丁腾飞,周天福,李波等. 长料钢材立体仓库设计与实现. 制造业自动化, 2018, 40 (06): 123-126.

代表性授权专利:

1快速夹紧可调棘轮扳手,发明专利,已授权,授权号:ZL201510118737.8

2一种用于大尺寸平板类工件加工的快速组合柔性夹具,发明专利,已授权,授权号:ZL201610296589.3

3长料钢材立体仓库,发明专利,已授权,授权号:ZL201810079679.6.

4螺旋式锚固钻机自动钻杆箱及其运行方法,发明专利,已授权,授权号: ZL2018 10203087.0.

5一种异构多机器人系统的多目标跟踪控制方法,发明专利,已授权,授权号:ZL201811540770.X.

6一种复杂遥操作技术的神经自适应固定时间控制方法,发明专利,已授权,授权号: ZL202010178981.4.

指导学生比赛获奖:

作为指导老师指导学生参加全国大学生工程能力训练大赛(省二3项、省三3项)、机械创新设计大赛(省二1项、省三1项)。