Bachelor of Automation, Institute of Naval Aeronautical Engineering, Beijing, China, 1986;
Master of Automation, Institute of Naval Aeronautical Engineering, Beijing, China, 1989;
Ph. D. in Computer Science & Technology, Tsinghua University, Beijing, China, 1997.
Tsinghua University: Assistant Director of Office of Scientific R&D;
State Key Laboratory of Intelligent Technology and Systems: Deputy Director;
IEEE: Senior Member;
Chinese Association of Artificial Intelligence: Council Member;
Chinese Association for Artificial Intelligence: Deputy Director and Secretary-General of the Intelligent Control and Management Society;
IEEE Control System Society: Member of the Technical Committee on Intelligent Control
Mechatronics, IEEE Trans. on Neural Networks, Soft Computing: Associate Editor;
Chinese Journal of Intelligent Technology: Associate Editor;
Information Science: Guest Editor;
Science in China: Guest Editor.
Areas of Research Interests/ Research Projects
Intelligent Control and Robotics, Guidance and Control for Mobile Robots & Spacecrafts
Networked Control Systems
Information Sensing and Processing in Artificial Cognitive Systems
National Natural Science Foundation of China: Robust Routing Algorithms and Simulations for Multi-Layered Satellite Network (2009-2010);
National Natural Science Foundation of China: Modeling and Intelligent Autonomous Control of Near-Space Hypersonic Vehicle (2008-2010);
National 863 High-Tech Program: Real-Time Modeling and Navigation of Mobile Robots in Dynamic Environment (2008-2010);
National Basic Research Program of China (The 973 Program): Knowledge Inference and Multi-Modal Interaction of Unstructured Information (2007-2011);
National Natural Science Funds for Distinguished Young Scholars: Modeling, Planning and Control of Dual-Armed Space Robots (2007-2010);
National Natural Science Foundation of China: Multi-Objective Robust Control through Fuzzy Singularly Perturbed Model and its Applications (2005-2007);
National Natural Science Foundation: Research on High-Precision and High-Stability Intelligent Control of Spacecrafts (2005-2007);
National Basic Research Program of China (The 973 Program): Theories and Techniques of Real-Time Intelligent Control and Optimization for Complex Manufacturing Process (2003-2008);
National Natural Science Foundation of China: Dynamic Neuro-Fuzzy Control of Multi-Link Flexible Robots and its Experimental Research (2001-2003);
National Distinguished Doctoral Dissertation Foundation: Dynamic Neuro-Fuzzy Modeling and Control of Flexible-Link Manipulators (2001-2005).
I have been focused on neuro-fuzzy modeling, and control and filtering of nonlinear systems for over ten years. Supported by National Science Foundation of China, National Basic Research Program (973), National 863 High-Tech Program and Advanced Defensive Research Project, series of research achievements have been achieved in stable neuro-fuzzy adaptive control and robust control of nonlinear systems, and filtering and control of Markovian Jump Systems. Significant achievements are listed as follows:
1. Stable Neuro-Fuzzy Adaptive Control of Nonlinear Systems. I have proposed a novel design idea of neural network-variable structure control. I have also developed systematic design approaches to the sampled-data adaptive control of (rigid/flexible link) robotic manipulators and a class of nonlinear systems. Those theoretical results have been verified by experiments. Representative paper of this research,"Neural Network-based Adaptive Controller Design of Robotic Manipulators with an Observer", was awarded the first prize of the 18th Choon-Gang academic awards (Korea) in 2003.
2. Control and Filtering of Multi-Scale Nonlinear Systems and Markov Jump Systems.
A large class of practical plants, including flexible manipulators, flying wing aircrafts, catalytic reduction towers and large flexible space structures, can be described by multiple scale models with small perturbation parameters. I have proposed and proved the existence and sufficiency of approximation of multi-scale nonlinear systems using fuzzy singularly perturbed model (FSPM). I have also indicated the necessary condition of the universal approximator with a given precision. The adaptive and robust control approaches are developed based on both dependent and independent perturbation parameter solutions, which could obtain a significant control precision. Furthermore, effective methods are developed to address the saturation effect and incomplete measurable states in practical systems. I was invited to give a plenary speech in IEEE Intelligent System Design and Applications 2006 on this topic.
3. Application Researches. Since I joined Tsinghua University in 2001, I have supervised 20 master and 15 Ph.D students. Our research are related to some of the most important applications of neuro-fuzzy control methods in rigid and flexible-link manipulators, nonlinear systems, internetworked systems, space robots, etc. As of the experimental verification of our theoretical results, we have constructed two flexible-link robot test-beds and a teleoperation system for space on-orbit services. I have published 2 monographs, and filed 8 patent applications (3 authorized).
Honors And Awards
National Natural Science Funds for Distinguished Young Scholars (2006);
New Century Talents Award by Ministry of Education (2004);
National Science and Technology Progress Award, Second Class (2002);
18th Choon-Gang Academic Awards (Korea) (2003);
Science and Technology Progress Award by City of Beijing, Second Class (2004).
National Distinguished Doctoral Dissertation (2000).
 Fuchun Sun, Zengqi Sun, Bo Zhang. Manipulator adaptive control neural network theory and method. Higher Education Press, Beijing, 2005(in Chinese).
 F. C. Sun and F. G. Wu. Chapter 8: A discrete-time jump fuzzy system approach to networked control system design. In Networked Control Systems: Theory and Applications,Eds. Fei-YueWang & Derong Liu, West Publishing Company: March 2008.
 F. C. Sun, Y. Tan and C. Wang. Special issue on pattern recognition and information processing using neural networks. Soft Computing, 2010, 14(2): 101-102.
 L. Lee and F. C. Sun. The direct adaptive control based on the singularly perturbed model with the unknown consequence. International Journal of Control Automation & Systems, 2010, 8(2): 38-243.
 H. Q. Wang and F. C. Sun. An unbiased LSSVM model for classification and regression. Soft Computing, 2010, 14(2): 171-180.
 N. Chen, F. C.Sun and L. G, Ding. An adaptive PNN-DS approach to classification using multi-sensor information fusion. Neural Computing & Applications, 2009, 18(5):455-467.
 H. Wu, F. C. Sun and H. P. Liu. Fuzzy particle filtering for uncertain systems. IEEE Trans. Fuzzy Systems, 2008, 16(5):114-119.
 F. C. Sun, L. Li, H. X. Li and H. P. Liu. Neuro-fuzzy dynamic-inversion- based adaptive control for robotic manipulators-discrete time case. IEEE Trans. On Industrial Electronics, 2007, 54(3): 1342-1351.
 W. Hao, and F. C. Sun. Adaptive kriging control of discrete-time nonlinear systems. IEE Proceedings- Control Theory and Applications, 2007, 1(3):646-656.
 Y. G. Tang, F. C. Sun and Z. Q. Sun. Neural network control of flexible-link manipulators using sliding mode. Neurocomputing, 2006, 70:288-295.
 F. C. Sun, Z. Q. Sun and H. X. Li. Stable adaptive controller design of robotic manipulators via neuro-fuzzy dynamic inversion. Journal of Robotic Systems, 2005, 2005, 22(12):809-819.
 F. C. Sun, H. P. Liu and K. Z. He. Reduced-order H？？ filtering for linear systems with Markovian jump parameters. Systems and Control Letters, 2005,54(8):739-746.
 H. P. Liu, F. C. Sun and Z. Q. Sun. Stability analysis and synthesis of fuzzy singularly perturbed systems. IEEE Trans. on Fuzzy Systems, 2005, 13(2):273-284.
 F. C. Sun, H. P. Liu and Z. Q. Sun. Comments on 'Constrained controller design of discrete Takagi-Sugeno fuzzy models'. Fuzzy Sets and Systems, 2004, 146(2): 473-476.
H. P. Liu, F. C. Sun, K. Z. He and Z. Q. Sun. Design of reduced-order H？？ filter for Markovian jump linear systems with time-delay. IEEE Trans. on Circuits and Systems, Part II ---- Express Briefs, 2004, 51(11):607-612.
 F. C. Sun, Z. Q. Sun and L. Li. Adaptive dynamic neuro-fuzzy controller design of robotic manipulators. Fuzzy Sets and Systems, 2003, 134(1): 117-133.
F. C. Sun and Z. Q. Sun. Hybrid neuro-fuzzy adaptive control for flexible-link manipulators. International Journal of Fuzzy Systems, 2003, 5(2): 89-97.
 F. C. Sun, H. X. Li and L. Li. Robot discrete adaptive control based on dynamic inversion using dynamical neural networks. Automatica, 2002, 38(11): 1977-1983.
 F. C. Sun, Z. Q. Sun and P. Y. Woo. Neural network-based adaptive controller design of robot manipulators with an observer. IEEE Trans. on Neural Networks, 2001, 12(1): 54-67.
 F. C. Sun, Z. Q. Sun, Y. B. Chen and R. J. Zhang. Neural adaptive tracking controller for robot manipulators with unknown dynamics. IEE Proceedings, Part D: Control Theory and Applications, 2000, 147(3): 366-370.
 F. C. Sun, Z. Q. Sun and F. Gary. An adaptive fuzzy controller based on sliding mode for robot manipulators. IEEE Trans. on Systems, Man, and Cybernetics. (Part B: Cybernetics), 1999, 29(5): 661-667.
 F. C. Sun, Z. Q. Sun, Y. Y. Zhu and W. J. Lu. Stable neuro-adaptive control for robots with unknown dynamics. Journal of Intelligent and Robotic Systems. 1999, 26(1): 91-100.
 F. C. Sun and Z. Q. Sun. Robot adaptive control based on dynamic inversion using dynamical neural networks. Machine Intelligence and Robot Control, 1999, 1(2): 71-78.
 F. C. Sun, Z. Q. Sun, and P. Y. Woo. Stable neural network-based adaptive control for sampled-data nonlinear systems. IEEE Trans. on Neural Networks, 1998, 9(5): 956-968.
 F. C. Sun, Z. Q. Sun, M. H. Guo and R.J. Zhang. A stable neural network-based adaptive controller for robot manipulators. International Journal of Intelligent and Robotic systems, 1998, 2(3): 413-432.
 F. C. Sun and Z. Q. Sun. Stable sampled-data adaptive control of robots using neural network models. Journal of Intelligent and Robotic Systems. 1997, 20( 2): 131-155.
H. Wu, F. C. Sun, Z. Q. Sun and L. C. Wu. Optimal trajectory planning of a flexible dual-arm space robot with vibration reduction. Journal of Intelligent and Robotic Systems, 2004, 40(2):147-163.
 N. Zhao and F. C. Sun. Comments on 'Fuzzy control design for nonlinear singularly perturbed systems with pole placement constraints: an LMI approach'. IEEE Trans. on Systems, Man and Cybernetics, 2004, 34(6):2422.