Fen Wu
Mechanical and Aerospace Engineering
- Phone: 919.515.5268
- Email: fwu@ncsu.edu
- Office: 3254 Engineering Building III
- Website: http://people.engr.ncsu.edu/fwu
Fen Wu’s long-term goal is to play an essential role in developing robust and nonlinear control theory. A significant roadblock in the development of robust and nonlinear control theory is solvability (computation), and so his work focuses mainly on solvability.
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 advanced course goes beyond linear theory to provide modern tools that enhance robustness when the system is not entirely known.
At the undergraduate level, Wu teaches Dynamics of Machines (MAE 315) and Principles of Automatic Control (MAE 435). In both of these courses, Wu’s major emphasis to the students is that we are dealing with systems and, as such, that they obey systematic methods.
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, Wu spends time with his family and enjoys travel.
Research Interests
Wu is interested in control theory, robust analysis and control, gain-scheduling control design and implementation, model approximation, structure and control interaction analysis, and applying 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.
Education
| Degree | Program | School | Year |
|---|---|---|---|
| Ph.D. | Doctor of Philosophy in Mechanical Engineering | University of California at Berkeley | 1995 |
| MSAC | Master of Science in Automatic Control | Beijing University of Aeronautics and Astronautics | 1988 |
| BSAC | Bachelor of Science in Automatic Control | Beijing University of Aeronautics and Astronautics | 1985 |
Publications
- 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
- 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. 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. https://doi.org/10.1109/TCSI.2024.3369037
- 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. 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. https://doi.org/10.1109/TCYB.2022.3169290
- Switching Anti-windup Control for Aircraft Engines
- Wang, K., Wu, F., & Sun, X.-M. (2023), IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 70(2), 1830–1840. https://doi.org/10.1109/TIE.2022.3163464
- Advanced controller synthesis for fuzzy parameter varying systems
- Ban, X., Zhang, H., & Wu, F. (2022), JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS, 359(2), 762–785. https://doi.org/10.1016/j.jfranklin.2020.12.038
- Remaining useful life prediction of PEMFC based on cycle reservoir with jump model
- Jin, J., Chen, Y., Xie, C., Zhu, W., & Wu, F. (2021), INTERNATIONAL JOURNAL OF HYDROGEN ENERGY, 46(80), 40001–40013. https://doi.org/10.1016/j.ijhydene.2021.09.233
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
