Prof./Dr. Dazi Li

Office Address

Room 507, Science and Technology Building

Mailing Address

Mail Box 4, No. 15 Beisanhuan East Road, Chaoyang District, Beijing 100029, P.R. China

Email

lidz@mail.buct.edu.cn

Phone

86-10-64434930


Research Interests

Machine Learning and Artificial Intelligence
Fractional Calculus System
Advanced Process Control
Complex System Modeling and Optimization

Working/Education Experience

2000-2004 Ph.D, Department of Electric and Electronic Systems, Kyushu University, Fukuoka, Japan.
1992-1995 M.S. , Department of Automation, Beijing University of chemical Technology, Beijing, China.
1988-1992 B.S. , Department of Automation, Beijing University of chemical Technology, Beijing, China.

Teaching Courses

Automation Introduction
Process Control Engineering
Advanced Process Control Experiments

Projects

01/2016~12/2019: National Science Foundation of China (Grant No. 61573052): Research on Data-Driven Reinforcement Learning Control For Complex Dynamical Systems
05/2014~06/2013: Chinese Chemical Information Center: Software Development of Data Mining based ERP Analysis and Decision Making

Publications

[1] Tianheng Song, Dazi Li*, Kotaro Hirasawa, Kernel-based Least Squares Temporal Difference with Gradient Correction, IEEE Transactions on Neural Networks and Learning Systems, In press, 2015.
[2]  Dazi Li*, Lang Liu, Qibing Jin, Kotaro Hirasawa, Maximum Sensitivity Based Fractional IMC-PID Controller Design for Non-integer Order System with Time Delay, Journal of Process Control, 31 (4), 17-29(2015).
[3]  Dazi Li*, Chong Li, Qibing Jin, Zhiqiang Gao, On active disturbance rejection in temperature regulation of the proton exchange membrane fuel cells, Journal of Power Sources, 283(1), 452-463(2015)
[4]  Dazi Li*, Qianwen Xie, Qibing Jin. Qusi-linear Extreme Learning Machine Model Based Internal Model Control for Nonlinear Process, Mathematical Problems in Engineering, vol.2015, Article ID 181389, 2015.
[5]  LI Quan-shan, LI Da-zi*, CAO Liu-lin, Modeling and optimum operating conditions for FCCU using artificial neural network, Journal of Central South University, 22,1342-1349 (2015).
[6]  Dazi Li*, Yadi Yu, Qibing Jin, Zhiqiang Gao, Maximum Power Efficiency Operation and Generalized Predictive Control of PEM (proton exchange membrane) fuel cell, Energy, 68: 210-217(2014).
[7]  Dazi Li*, Zheng Li, Zhiqiang Gao, Qibing Jin, Active Disturbance Rejection Based High-Precision Temperature Control of a Semi-Batch Emulsion Polymerization Reactor. Industrial & Engineering Chemistry Research, 53(8), pp. 3210-3221(2014).
[8]  Dazi Li*, Li Qian, Qibing Jin, Tianwei Tan, Reinforcement learning control with adaptive gain for a Saccharomyces cerevisiae fermentation process , Applied Soft Computing, December, 11(8): 4488-4495(2011) .
[9]  Dazi Li*, Fanyou. Zeng, Qibing Jin, Lideng Pan, Applications of IMC based PID controller tuning in atmospheric and vacuum distillation unit, Nonlinear Analysis: Real World Applications,10(5): 2729-2739 (2009).
[10] Liulin Cao, Dazi Li*, Chunyun Zhang and Haiyan Wu, Control and Modelling of Temperature Distribution in a Tubular Polymerization Process, Computers & Chemical Engineering, 31( 11): 1516-1524 (2007).