Education background
Ph.D., Control Science and Engineering, Nanjing University of Science & Technology, 1998
B.S., Automatic Control, Nanjing University of Science & Technology, 1994
Experience
1998.12~2000.12, Post-doctoral Research Fellow. Institute of Flight Control, Nanjing University of Aeronautics and Astronautics
2001.1~2002.12, Post-doctoral Research Fellow, The State Key Laboratory on Intelligence Technology and System, Tsinghua University
2003.1~2008.12/~2012.12/~present, Associate Professor,The Department of Computer/ Precision Instruments/ Mechanical Engineering, Tsinghua University
Areas of Research Interests/ Research Projects
Distance Measurement Theory Based on Nonlinear Computation and Its Application
Modeling Theory & Algorithm for Dynamic System
Modern Control Theory for Precision Motion System
Model & Realization of Special Driver for Precision Motor
Membership in Professional Organizations
Member of Editorial Board of Instrumentation Science, 2010-present
Member of Editorial Board of China Computer Federation, 2013-present
Honors And Awards
National Defense Prize for Progress in Science and Technology,special prize (top grade award),rank 2nd
Jiangsu Province Prize for Progress in Science and Technology, 2nd prize, rank 2nd
PLA Prize for Progress in Science and Technology,2nd prize, rank 4th
Academic Achievement
[1] Gao, Zhenyu; Hu, Jinchun; et al. The research on geometric error's tolerance design of X-Y stage's measurement system accuracy. Transactions of the Institute of Measurement & Control. 2013: 35(5) : 672-682
[2] Zhenyu Gao; Jinchun Hu; et al. The analysis of subdivision measurement based on sinusoidal magnetic field mode, Measurement, 2012, 45(5):1159–1164
[3] Chen L.; Jinchun Hu; et al. A novel planar 3D magnetic position measurement methodology using linear Hall sensors, 2012 IEEE/ASME International Conference on Advanced Intelligent Mechatronics,Kaohsiung, Taiwan,2012
[4] B. D. Chen; J. C. Hu; et al. Mean-square convergence analysis of ADALINE training with minimum error entropy criterion. IEEE transactions on neural networks. 2010, 21(7) 1168-79.
[5] Haitao Liu; J.C. Hu; Eliminate Low-frequency Disturbance of Ultra-precision Micro-motion Platform by Adaptive Inverse Approach. 2010 International Conference on Computer Application and System Modeling. Taiyuan, China.
[6] B. D. Chen; J. C. Hu; et al. Parameter identifiability with Kullback-Leibler information divergence criterion. International Journal of Adaptive Control & Signal Processing. 2009, 23, 940-960
[7] B. D. Chen; J. C. Hu; et al. Mean-square convergence analysis of ADALINE training with minimum error entropy criterion. IEEE transactions on neural networks. 2010, 21(7) 1168-79.
[8] China Patent NO. ZL201010034274.4, authorized in 2011.
[9] China Patent NO. ZL201010034190.0, authorized in 2011.
[10] China Patent NO. ZL200910243477.1, authorized in 2011.