Fen Wu


  • 919-515-5268
  • Engineering Building III (EB3) 3254
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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.


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.


New developments in multibody system dynamics and its applications 2015
Rui, X. T., Zhang, C. Z., Wang, S. M., & Wu, F. (2017), Advances in Mechanical Engineering, 9(3).
Output feedback control for fuzzy systems subject to actuator saturation based on fuzzy Lyapunov functions
Ban, X. J., Liu, Y., Huang, X. L., & Wu, F. (2017), (Proceedings of the ASME 9th Annual Dynamic Systems and Control Conference, 2016, Vol 1, ).
Tracking control of hybrid systems with state-triggered jumps and stochastic events and its application
Yang, T., Wu, F., & Zhang, L. X. (2017), IET Control Theory and Applications, 11(7), 1024-1033.
Exact-memory and memoryless control of linear systems with time-varying input delay using dynamic IQCs
Yuan, C. Z., & Wu, F. (2017), Automatica, 77, 246-253.
Gain-scheduling control of T-S fuzzy systems with actuator saturation
Liu, Y., Ban, X. J., Wu, F., & Lam, H. K. (2017), Journal of Intelligent & Fuzzy Systems, 32(3), 2579-2589.
A new hybrid LFT control method for missile autopilot design
Yuan, C. Z., & Wu, F. (2016), In Proceedings of the 35th chinese control conference 2016. (Chinese control conference, ) (pp. 5852-5857).
H-infinity state-feedback control of linear systems with time-varying input delays
Yuan, C. Z., & Wu, F. (2016), In 2016 ieee 55th conference on decision and control (cdc). (IEEE Conference on Decision and Control, ) (pp. 586-591).
Dynamic IQC-based analysis and synthesis of networked control systems
Yuan, C. Z., & Wu, F. (2016), In 2016 american control conference (acc). (Proceedings of the American Control Conference, ) (pp. 5346-5351).
Aggregate control of clustered networks with inter-cluster time delays
Boker, A. M., Yuan, C. Z., Wu, F., & Chakrabortty, A. (2016), In 2016 american control conference (acc). (Proceedings of the American Control Conference, ) (pp. 5340-5345).
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.

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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)