Location
209 NAME
Phone
(734) 615-8061
Primary Website
Biography
Jing Sun received her Ph. D degree from the University of Southern California in 1989, and her B. S. and M. S. degrees from the University of Science and Technology of China in 1982 and 1984 respectively, all in Electrical Engineering.
From 1989-1993, she was on the faculty of the Electrical and Computer Engineering Department, Wayne State University. She joined Ford Research Laboratory in 1993 where she worked in the Powertrain Control Systems Department on engine emission control and fuel economy optimization projects. After spending almost 10 years in industry, she came back to academia and joined the Naval Architecture and Marine Engineering Department and Electrical Engineering and Computer Science Department at the University of Michigan in September 2003, where she holds the title of Michael G. Parsons Collegiate Professor of Engineering now. Her research interests include control theory and optimization, as well as their applications to marine and automotive propulsion systems.
She holds 39 US patents, has co-authored a textbook, Robust Adaptive Control (Prentice Hall, 1996), and published over 200 journal and conference papers. She has served as associate editor for several control journals, including the IEEE Transactions on Automatic Control, IEEE Transactions on Control Systems Technology, and the International Journal of Adaptive Control and Signal Process. She is an IEEE fellow and one of the three recipients of the 2003 IEEE Control System Technology Award.
Education
- Ph.D. University of Southern California (1989) Electrical Engineering
- M.S. University of Science and Technology of China (1984) Electrical Engineering
- B.S. University of Science and Technology of China (1982) Electrical Engineering
Research Interests
- Control system development and optimization for marine and automotive propulsion systems, with a focus on system modeling, identification, control algorithm development and integration, control system rapid prototyping and experimental validation.
- Modeling, control and optimization of electrified vehicles, with emphasis on transient energy management for mobile applications.
- Adaptive control theory, with a focus on algorithm and tool development, aims at improved transient performance and convergence properties.
- Advanced control methodologies, including optimal control and nonlinear control, and their real-time applications to marine and automotive systems.
Dynamics and Controls
Teaching
- NA483 Marine Control Systems
- NA583 Adaptive Control
Publications
A complete list w/PDF files for downloading can be found HERE.
- Soryeok Oh, Jing Sun, Herb Dobbs, Joel King, “Model PredictiveControlfor Power and Thermal Management of An Integrated SolidOxide Fuel Cell and Turbocharger System,” IEEE Transactions onControl System Technology, Vol. 22, No. 3, pp911-920, May, 2014.
- Caihao Weng, Yujia Cui, Jing Sun, and Huei Peng, “On-board State of Health Monitoring of Lithium-ion Batteries Using Incremental Capacity Analysis with Support Vector Regression,” Journal of Power Sources, Vol. 235, pp36-44, 2013.
- Yanhui Xie, Reza Ghaemi, Jing Sun, and James Freudenberg, “ModelPredictive Control for a Full Bridge DC/DC Converter,” IEEETransactions on Control System Technology, Volume 20, No. 1, pp 164-172, January 2012.
- Reza Ghaemi, Jing Sun, Ilya Kolmanovsky, “Neighboring ExtremalSolution for Nonlinear Discrete-Time Optimal Control Problems withState Inequality Constraints,” IEEE Transactions on Automatic Control, Volume 54, No. 11, pp2674-2679, Nov. 2009.
- Zhen Li, Jing Sun, Soryeok Oh, “Design, Analysis and ExperimentalValidation of a Robust Nonlinear Path Following Controller for MarineSurface Vessels,” Automatica, Volume 45, Issue 7, pp1649-1658, July 2009.
- Petros A. Ioannou and Jing Sun, Robust Adaptive Control, Prentice-Hall, 1996 (Reprint by Dover in 2012).