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Fang Yongchun

Yongchun Fang

Sex: Male

Department: Institute of Robotics and Automatic Information System, College of Artificial Intelligence, Nankai University

Title: Professor

Degree: PhD

Major: Control Theory and Control Engineering

Email: fangyc@nankai.edu.cn

Personal profile
Writing papers
Lecture course
Social Appointments

[Personal profile]

Research Interests:

  • Nonlinear Control of Underactuated Systems (Overhead Cranes); 

  • Visual Servo of Mobile Robots; 

  • Autonomous Control of Unmanned Aerial Vehicles; 

  • Advanced Control of Atomic Force Microscope Systems

Education:

  • PhD, 1999-2002, Clemson University, Clemson, SC, USA. Research Field: Robotics and Nonlinear Control

  • MS, 1996-1999, Zhejiang University, Hangzhou, China. Research Field: Industrial Process Control

  • BS, 1994-1996, Zhejiang University, Hangzhou, Zhejiang, China. 1992-1994, Mixed Class (Geniuses Class), Zhejiang University, Hangzhou, China

Research Experience:

  • Professor, 2003~present, Nankai University, Tianjin, China

  • Postdoc Fellow, 2002-2003, Cornell University, Ithaca, NY, USA

  • Research Assistant, 1999-2002, Clemson University, Clemson, SC, USA

Recent Honors and Awards:

  • 2020, Awardee of Special Government Allowances of the State Council

  • 2019, Awardee of Chinese Top Ten Scientific and Technological Progress in Intelligent Manufacturing

  • 2019, Awardee of Tianjin Excellent Scientific and Technological Worker 

  • 2018, Tianjin Outstanding Talent  

  • 2018, Awardee of Tianjin Natural Science Award, First Prize

  • 2018, Awardee of the Fifth Chen Han-Fu Award

  • 2017, Awardee of Chinese Wu-Wenjun Artificial Intelligence Award: Natural Science Award, the only First Prize 

  • 2017, Awardee of Youth Scientist of Chinse Association of Automation 

  • 2014, Awardee of Baogang Excellent Teacher Award 

  • 2013, Awardee of National Distinguished Young Scholars Award

  • 2011, Awardee of the Eleventh Distinguished Wusi Youngers Award of Tianjin

Funded Research Projects (PI):

  • Study for Cooperative Transportation with Multiple Unmanned Aerial Vehicles, Natural Science Foundation of China, RMB 650K, PI, 2019.1~2022.12.

  • Development of Automatic Nano-manipulation Technology with Specific Focus on Cell Parts Replacement, Key Project of National Natural Science Foundation of China, RMB 2.7M, PI, 2017.1~2021.12.

  • Design of Autonomous Monitoring and Emergency Rescue System for Forest Fire with Multiple UAVs, Key Project Natural Science Foundation of Tianjin, RMB 200K, PI, 2016.4~2019.3.

  • Intelligent and Autonomous Robots, National Distinguished Young Scholars Funding, RMB 3.2M, PI, 2014.1~2017.12.

  • Dynamics Modeling and Nonlinear Control for Offshore Boom Cranes, Natural Science Foundation of China, RMB 800K, PI, 2014.1~2017.12. 

  • Efficient, Safe Automatic Overhead Crane Systems Development, National Science and Technology Pillar Program of China, RMB 4.73M, PI, 2013.1~2015.12.

  • Life Science-oriented, Cross-scale, Fast Atomic Force Microscope (AFM) Systems Development, National Natural Science Foundation of China, PI, RMB 2.8M, 2012.1~2015.12.

  • Biology Tissue-Oriented Micro-manipulation Technology and Devices Development, National High Technology Research and Development Program (“863” Program) of China, RMB 4.76M, PI, 2009.10~2011.12.

  • Energy-Based Control of Underactuated Nonlinear Crane Systems, National Natural Science Foundation of China, RMB 300K, PI, 2009.1~2011.12.

  • International Joint Research: Biomedical Robotics and Applications (PIRSES-GA-2013-612641), Seventh Frame Work Programme: the People Programme: Marie Curie Actions-International Research Staff Exchange Scheme (IRSES), Jan. 2014 to Dec. 2017, International Joint Research Project, 445,200 EUR, Yongchun fang is the principal of Nankai Part.


[Writing Papers]

[1] Hean Hua, Yongchun Fang*, Xuetao Zhang, Biao Lu, A Novel Robust Observer-based Nonlinear Trajectory Tracking Control Strategy for Quadrotors, IEEE Transactions on Control Systems Technology, Vol. 29, No. 5, pp. 1952-1963, 2021.

[2] Yinan Wu, Zhi Fan, Yongchun Fang*, Cunhuan Liu, An Intelligent AFM Scanning Strategy Based on Autonomous Exploration, IEEE/ASME Transactions on Mechatronics, 2021, DOI: 10.1109/TMECH.2021.3098223.

[3] Biao Lu, Yongchun Fang*, Gain-Adapting Coupling Control for a Class of Underactuated Mechanical Systems, Automatica, Vol. 125, pp. 109461, 2021.

[4] Xiao Liang, Yongchun Fang*, Ning Sun, He Lin, Xingang Zhao, Adaptive Nonlinear Hierarchical Control for a Rotorcraft Transporting a Cable-Suspended Payload, IEEE Transactions on Systems, Man and Cybernetics: Systems, 51(7): 4171–4182, 2021.

[5] Ning Sun, Dingkun Liang, Yiming Wu, Yiheng Chen, Yanding Qin, Yongchun Fang*, Adaptive Control for Pneumatic Artificial Muscle Systems With Parametric Uncertainties and Unidirectional Input Constraints, IEEE Transactions on Industrial Informatics, Vol. 16, No.2, pp. 969-979, 2020.

[6] Wei Zhu, Xian Guo, Yongchun Fang*, Xueyou Zhang, A Path-Integral-Based Reinforcement Learning Algorithm for Path Following of an Auto-Assembly Mobile Robot, IEEE Trans. on Neural Networks and Learning Systems, Vol. 31, No. 11, pp. 4487 - 4499, 2020.

[7] Xuetao Zhang, Yongchun Fang*, Xuebo Zhang, Peiyao Shen, Jingqi Jiang, Xiang Chen, Attitude-constrained time optimal trajectory planning for rotorcrafts: Theory and application to visual servoing, IEEE/ASME Transactions on Mechatronics, Vol. 25, No. 4, pp. 1912-1921, 2020.

[8] Xian Guo, Wei Zhu, Yongchun Fang*, Guided Motion Planning for Snake-like Robots Based on Geometry Mechanics and HJB Equation, IEEE Trans. on Industrial Electronics, Vol. 66, No. 9, pp. 7120-7130, 2019.

[9] Xuebo Zhang, Runhua Wang, Yongchun Fang*, Baoquan Li, and Bojun Ma, Acceleration-Level Pseudo-Dynamic Visual Servoing of Mobile Robots With Backstepping and Dynamic Surface Control. IEEE Transactions on Systems, Man and Cybernetics: Systems, Volume: 49, No. 10, pp. 2071-2081, 2019.

Chen Qian, Yongchun Fang*, Youpeng Li, Quaternion-based Hybrid Attitude Control for an Under-actuated Flapping Wing Aerial Vehicle, IEEE/ASME Trans. on Mechatronics, Vol. 24, No. 5, pp. 2341-2352, 2019.

[Lecture Courses]

  • Principles of Automatic Control (Undergraduate Course) 

  • Nonlinear Control Based on Lyapunov Method (Graduate Course)

  • Robot Vision Control (Graduate Course)

[Social Appointments]

  • Member, the Eighth Special Committee of Brain Science and Cognitive Science of the Science and Technology Committee of the Ministry of Education

  • Member, the Expert Committee of Artificial Intelligence High-level Talent Training of the Ministry of Education

  • Member, the Educational Guidance Committee for Electronic Information Majors of Higher Education Ministry of Education

  • Member, the Tenth Chinese Society of Automation Education Committee

  • Deputy Director, the Youth Committee of the Chinese Institute of Electronics for Artificial Intelligence and Unmanned Systems

  • Vice President, Tianjin Intelligent Science and Technology Research Association

  • Director, the Chinese Society of Automation

  • Senior Member, Institute of Electrical and Electronics Engineers

  • General Chair, the 8th Annual IEEE International Conference on CYBER Technology in Automation, Control, and Intelligent Systems (IEEE-CYBER 2018), Tianjin, China, July 19-July 23, 2018

  • Associate Editor, ASME Journal of Dynamic Systems, Measurement and Control



Contact US

HR：+86 2285358228 guoyufei@nankai.edu.cn;
International Office:+86 2223505863 mengjin@nankai.edu.cn

Location/Campus Map

38 Tongyan Road, Jinnan District, Tianjin, P.R.China 300350

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