Fen Wu

Professor

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.

Publications

A multiple Lyapunov function-based switching anti-windup design for linear systems under asymmetric input constraints and its application to aero-engines
Wang, K., Wu, F., Wu, D., & Li, P. (2025, February 14), INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE, Vol. 2. https://doi.org/10.1080/00207721.2025.2464018
Bumpless transfer control for DC-DC buck-boost converter modeled by switched affine systems
Xu, X., Zhu, Y., Wu, F., Chen, X., & Su, C.-Y. (2025), CONTROL ENGINEERING PRACTICE, 159. https://doi.org/10.1016/j.conengprac.2025.106320
Deterministic Learning-Based Tracking Control for Parabolic PDE Systems With Infinite-Dimensional Nonlinear Uncertain Dynamics
Zhang, J., Yuan, C., Wu, F., Wang, C., & Cheng, H. (2025), IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 70(5), 3272–3287. https://doi.org/10.1109/tac.2025.3540988
Fault Estimation for a Class of Markov Jump Piecewise-Affine Systems: Current Feedback Based Iterative Learning Approach
Zhu, Y., Xu, N., Wu, F., Chen, X., & Zhou, D. (2024), IEEE-CAA JOURNAL OF AUTOMATICA SINICA, 11(2), 418–429. https://doi.org/10.1109/JAS.2023.123990
Modeling and energy management strategy of hybrid energy storage in islanded DC micro-grid
Jin, J., Wang, Z., Chen, Y., Xie, C., Wu, F., & Wen, Y. (2024, April 22), ELECTRICAL ENGINEERING, Vol. 106. https://doi.org/10.1007/s00202-024-02376-x
Sampled-Data Control for Buck-Boost Converter Using a Switched Affine Systems Approach
Xu, X., Zhu, Y., Wu, F., & Ahn, C. K. (2024, February 28), IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS, Vol. 71. https://doi.org/10.1109/TCSI.2024.3369037
Degradation Prediction of PEMFC Based on Data-Driven Method With Adaptive Fuzzy Sampling
Jin, J., Chen, Y., Xie, C., & Wu, F. (2024), IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION, 10(2), 3363–3372. https://doi.org/10.1109/TTE.2023.3296719
Remaining useful life prediction of PEMFC based on the multi-input cycle reservoir with jump network
Jin, J., Chen, Y., Xie, C., & Wu, F. (2023), INTERNATIONAL JOURNAL OF HYDROGEN ENERGY, 48(34), 12844–12860. https://doi.org/10.1016/j.ijhydene.2022.12.170
Switching Anti-Windup Synthesis for Linear Systems With Asymmetric Actuator Saturation
Wang, K., Li, P., Wu, F., & Sun, X.-M. (2023, April 19), IEEE TRANSACTIONS ON CYBERNETICS, Vol. 54. https://doi.org/10.1109/TCYB.2023.3264913
Fault Estimation Observer Design for Markovian Jump Systems With Nondifferentiable Actuator and Sensor Failures
Chen, L., Zhu, Y., Wu, F., & Zhao, Y. (2022, May 13), IEEE TRANSACTIONS ON CYBERNETICS, Vol. 53. https://doi.org/10.1109/TCYB.2022.3169290

View all publications via NC State Libraries

Grants

  • Advanced Switching Control Techniques For Switched Systems Subject to Physical Constraints
  • Developing High Performance, Computationally Efficient Nonlinear Control Techniques For Polynomial Nonlinear Systems
  • Reconfigurable Robust Gain-Scheduled Control for Air-Breathing Hypersonic Vehicles
  • Developing Nonlinear Optimal and Robust Control Techniques for Space Exploration
Fen Wu