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Jinchun Hu

Associate Professor of Mechanical Engineering

Room 411, Weiqing Building Tsinghua University, Beijing 100084, China

Tel.: +86-10-62797853

Fax: +86-10-62797543

E-mail: hujinchun@tsinghua.edu.cn


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.


Contact Us

010-62772677

mayue@tsinghua.edu.cn

A401, Department of Mechanical Engineering, Tsinghua University, Wudaokou, Haidian District, Beijing(School Map)

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