Fen Wu

Professor

  • 919-515-5268
  • Engineering Building III (EB3) 3254
  • Visit My Website

Dr. Wu’s long-term goal is to play an important role in the development of robust and nonlinear control theory. A major roadblock in the development of robust and nonlinear control theory is solvability (computation) and so his work focuses largely on solvability.

Dr. Wu teaches Nonlinear System Analysis and Control (MAE 522). This is a first-year graduate-level course that introduces students to the interesting nonlinear behavior and the corresponding control strategies, like Liapunov stability theory, feedback linearization, and sliding mode control. He also teaches Robust Control with Convex methods (MAE 721). This is an advanced course that goes beyond linear theory to provide modern tools that enhance robustness when the system is not completely known.

At the undergraduate level, Dr. Wu teaches Dynamics of Machines (MAE 315) and Principles of Automatic Control (MAE 435). In both of these courses, Dr. Wu’s major emphasis to the students is that we are dealing with systems and, as such, that they obey systematic methods.

Dr. Wu’s students are theoretically oriented, self-motivated, and work independently. He tends to give them a lot of freedom in their research direction. His students enjoy the subject, among the different reasons, because of its unique blend of mathematics and engineering.

Outside of work, Dr. Wu spends time with his family and enjoys travel.

Education

Ph.D. 1995

Mechanical Engineering

University of California at Berkeley

M.S. 1988

Automatic Control

Beijing University of Aeronautics and Astronautics

B.S. 1985

Automatic Control

Beijing University of Aeronautics and Astronautics

Research Description

Dr. Wu is interested in control theory, robust analysis and control, gain-scheduling control design and implementation, model approximation, structure and control interaction analysis, and the application of advanced control and optimization techniques to aerospace, mechanical and chemical engineering problems. Presently, he is working on fault detection algorithms that improve the safety of hypersonic vehicles (for NASA), and the development of computationally efficient algorithms for nonlinear systems that have polynomial nonlinearities. Within MAE he collaborates with Dr. Buckner and Dr. Yuan.

Publications

Dynamic IQC-based control of uncertain LFT systems with time-varying state delay
Yuan, C. Z., & Wu, F. (2016), IEEE Transactions on Cybernetics, 46(12), 3320-3329.
Robust switching output-feedback control of time-varying polytopic uncertain systems
Yuan, C. Z., & Wu, F. (2016), International Journal of Control, 89(11), 2262-2276.
Hybrid switched gain-scheduling control for missile autopilot design
Yuan, C. Z., Liu, Y., Wu, F., & Duan, C. (2016), Journal of Guidance Control and Dynamics, 39(10), 2352-2363.
Analysis and control of genetic regulatory systems with switched drug inputs
Oduola, W., Li, X. F., Duan, C., Qian, L. J., Wu, F., & Dougherty, E. R. (2016), (2016 3rd IEEE EMBS International Conference on Biomedical and Health Informatics, ) (pp. 533-536).
robust gain-scheduling output feedback control of state-delayed lft systems using dynamic IQCS
Yuan, C. Z., Wu, F., & Duan, C. (2016), (Proceedings of the ASME 8th Annual Dynamic Systems and Control Conference, 2015, vol 3, ).
Output feedback control of linear fractional transformation systems subject to actuator saturation
Ban, X. J., & Wu, F. (2016), International Journal of Systems Science, 47(15), 3646-3655.
An optimization-based approach for prosthesis dynamic modeling and parameter identification
Yang, T., Wu, F., Liu, M., & Huang, H. (2016), (Proceedings of the ASME 8th Annual Dynamic Systems and Control Conference, 2015, vol 1, ).
Robust H-2 and H-infinity switched feedforward control of uncertain LFT systems
Yuan, C. Z., & Wu, F. (2016), International Journal of Robust and Nonlinear Control, 26(9), 1841-1856.
Hybrid almost output regulation of linear impulsive systems with average dwell-time
Yuan, C. Z., & Wu, F. (2016), Nonlinear Analysis-Hybrid Systems, 20, 82-94.
New results on switched linear systems with actuator saturation
Duan, C., Wu, F. (2016), International Journal of Systems Science, 47(5), 1008-1020.

View all publications via NC State Libraries

View publications on Google Scholar

Grants

Advanced Switching Control Techniques For Switched Systems Subject to Physical Constraints
National Science Foundation (NSF)(6/01/12 - 8/31/16)
Developing High Performance, Computationally Efficient Nonlinear Control Techniques For Polynomial Nonlinear Systems
National Science Foundation (NSF)(6/01/08 - 5/31/12)
Reconfigurable Robust Gain-Scheduled Control for Air-Breathing Hypersonic Vehicles
National Aeronautics & Space Administration (NASA)(1/05/07 - 12/31/11)
Developing Nonlinear Optimal and Robust Control Techniques for Space Exploration
NCSU NC Space Grant Consortium(7/01/06 - 6/30/07)