Professor

ZHU Qiao


Professor

Email: zhuqiao@swjtu.edu.cn

Links: https://faculty.swjtu.edu.cn/zhuqiao/en/index.htm



BIO

Education

PhD, University of Science and Technology Beijing, Control Science and Engineering (2010)

M.A., Xiangtan University, Control Science and Engineering (2007)

B.S., Xiangtan University, Measurement and Control Technology and Instrumentation (2004)


Employment

Academic Appointments

Professor, School of Mechanical Engineering, Southwest Jiaotong University, China (2015-present)

Associate Professor, College of Automation, University of Science and Technology Beijing, China (2010-2014)


Research Interests

Safety and Energy Saving of hydrogen energy system


SELECTED PUBLICATIONS

Principal Publications of the Last Five Years

Zhu Q. (#), Song F. (*), Xu J.-X. (*), Liu Y., An Internal Model Based Iterative Learning Control for Wafer Scanner Systems. IEEE/ASME Trans. Mechatron., 24(5): 2073–2084, 2019.

Zhu Q. (#), Xu M. E, Liu W. Q. (*), Zheng M. Q. A state of charge estimation method for lithium-ion batteries based on fractional order adaptive extended kalman filter. Energy, 2019, 187: 115880

Zhu Q. (#), Li L. (*), Chen C.-J., Liu C.-Z., Hu G.-D. Low-Cost Lateral Active Suspension System of High-Speed Train for Ride Quality Based on Resonant Control Method, IEEE Trans. Industrial Electronics,65(5): 4187-4196, 2018.

Zhu Q (#)(*). A Dual Internal Model Based Repetitive Control for Linear Discrete-Time Systems, IEEE Trans. Automatic Control, 2019, 64(2): 812-819. (A++)

Zhu Q. (#), Li L. (*), Hu X.-S. (*), Xiong N., et al. H-infinity based nonlinear observer design for state of charge estimation of Lithium-ion battery with polynomial parameters. IEEE Trans. Vehicular Technology, 66(12): 10853-10865, 2017.

Zhu Q. (#)(*), Xu J. X., Huang D. , Hu G. D. Iterative Learning Control Design for Linear Discrete-Time Systems with Multiple High-Order Internal Models. Automatica, 62(11): 65–76, 2015.



TEACHING

Primary Teaching areas

Energy and power engineering

Current Courses

Vehicle electrical control system