Automation

  • Name:Li Shaoyuan
  • Title:Professor
  • Office:2-413
  • Office Phone:34204011
  • Email:syli@sjtu.edu.cn
  • Website:

Research Field

Adaptive Control, Model-based Predictive Control, Distributed Control Systems, Networked Control for Cyber-physical Systems,

Education

Nankai University, Ph. D Degree, June, 1997
Hebei University of Technology, M.S. Degree, March,1992
Hebei University of Technology, B.S. Degree, July,1987

Work experience

Shanghai Jiao Tong University, Professor, March,2000-Present
Shanghai Jiao Tong University, Post Doctor, March,1998-March,2000
Hebei University of Technology, Assoc. Prof. June,1997-March,1998
Hebei University of Technology, Lecturer, March, 1992-Septemer,1994
Hebei University of Technology, Assis. Engineering, July,1987-Septemer,1989

Research

1. Performance Analysis and Design for Hybrid Control Systems, Supported by the National Science Foundation for Distinguished Young Scholars of China, 2009.1-2012.12
2. Dual-model predictive Control for Multivariable Systems based on Subspace Method, Supported by the National Natural Science Foundation of China, 2008.1-2010.12
3. Plant-wide Optimal Control and Application under the Networked Information Mode, Supported by the High Technology Research and Development Program of China, 2006.12-2008.12
4. Dynamical Optimal Control for the Cascade Processes, Supported by the Specialized Research Fund for the Doctoral Program of Higher Education of China, 2007.1-2009.12

Awards and Honors

1. Li Shaoyuan, Wang Jingcheng, Li Ning, Xi Yugeng. Satisfying Optimal Control Theory and Applications for Constrained Industrial Process, the First-class Awards of the Science and Technology Progress by Shanghai Government, 2006
2. Distinguished Professor of Shanghai Jiao Tong University, 2009-Present

Teaching

1. Adaptive Control, for M.S. Candidates, from 2002
2. Automatic Control Theory, for B.S. Students, from 2000
3. Process Control Systems, for B.S. Students, from 2005

Publications

[1] Zheng Yi, Li Shaoyuan. Horizon-Varying Model Predictive Control for Accelerated and Controlled Cooling Process. IEEE Transactions on Industrial Electronics, 58(1): 329-336, 2011
[2] Guo Yafeng, Li Shaoyuan. Transmission probability condition for stabilisability of networked control systems. IET Control Theory and Applications, 4(4):672-682, 2010
[3] Xue Binqiang, Li Shaoyuan. Robust model predictive control for networked control systems with quantization. IET Control Theory and Applications, 4(12), 2896-2906, 2010
[4] Wang Mengling, Li Ning, Li Shaoyuan. Local modeling approach for spatially distributed system based on interval type-2 T-S fuzzy sets, Industrial & Engineering Chemistry Research, 49(9), 4352-4359, 2010[5] Zheng Yi, Li Shaoyuan. An approach to model building for accelerated cooling process using instance-based learning, Expert Systems with Applications, 37(7), 5364-5371, 2010
[6] Guo Yafeng, Li Shaoyuan. H-infinity Control with Limited Communication for Networked ControlSystems, Circuits Systems and Signal Processing, 29(6), 1007-1026, 2010
[7] Shen Yuling, Li Shaoyuan, Cai Wenjian. Normalized decoupling control for high-dimensional MIMO processes for application in room temperature control HVAC systems, Control Engineering Practice, 18(6),652-664,2010
[8] Guo Yafeng, Li Shaoyuan. Transmission probability condition for stabilisability of networked control systems, IET Control Theory and Applications, 4(4), 672-682, 2010
[9] Xue Binqiang, Li Shaoyuan. Model predictive control for NCS with packet deopouts and network delays, International Journal of Process System Engineering, 2(1-2), 47-54, 2010
[10] Zhao Dongya, Li Shaoyuan, Zhu Quanmin. Robust finite-time control approach for robotic manipulators, IET Control Theory and Applications, 4(1), 1-15, 2010
[11] Guo Yafeng, Li Shaoyuan. Comments and improved results on "H infinity filtering for discrete-time systems with randomly varying sensor delays", Automatica, 45(7), 1784-1787, 2009
[12] Zheng Yi, Li Shaoyuan. Distributed model predictive control for plant-wide hot-rolled strip laminar cooling process. Journal of Process Control, 19(9): 1427-1437, 2009
[13] Guo Yafeng, Li Shaoyuan. Improved H-inf filtering for Markov jumping linear systems with non-accessible mode information, Science in China-Series E, 52(11), pp 2180-21896, 2009
[14] Zhao Dongya, Li Shaoyuan, Zhu Quanmin. A new terminal sliding mode control for robotic manipulators, International Journal of Control, 82(10), 1804-1813, 2009
[15] Zhao Min, Li Ning, Li Shaoyuan. Min-max model predictive control for constrained nonlinear systems via multiple LPV embeddings. Sciences in China-F, 52(7): 1129-1135, 2009
[16] Zou Yuanyuan, Li Shaoyuan. Receding horizon estimation to networked control systems with multirate scheme, Science in China-Series F, 52(7), 1103-1112, 2009
[17] Zhao Dongya, Li Shaoyuan, Zhu Quanmin. Finite time position synchronised control for parallel manipulators using fast terminal sliding mode, International Journal of Systems Science, 40(8), 829-843, 2009
[18] Li Shaoyuan, Hu Chaofang. Satisfying optimization method based on goal programming for fuzzy multiple objective optimization problem, European Journal of Operational Research, 197(2), 675-684, 2009
[19] Li Shaoyuan, Hu Chaofang. An Interactive Satisfying Method Based on Alternative Tolerance for Multiple Objective Optimization with Fuzzy Parameters. IEEE Trans. on Fuzzy Systems, 16(5): 1151-1160, 2008
[20] Zhang Yan, Li Shaoyuan. Networked model predictive control based on neighbourhood optimization for serially connected large-scale processes, Journal of Process Control, 27(1): 37-50, 2007
[21] Li Shaoyuan, Hu Chaofang. Two-step interactive satisfactory method for fuzzy multiple objective optimization with preemptive priorities. IEEE Trans. on Fuzzy Systems, 15(3): 417-425, 2007

Others