Title：Professor

E-mail：liqing@ies.ustb.edu.cn

Office：Room 526, Jidian Building

Education：

       1989.9~1993.7  Department of Industrial Electrical Automation, North China University of Science and Technology  Bachelor

       1993.9~1996.4  Department of Automation, School of Information Engineering, University of Science and Technology Beijing  Master

       1996.9~2000.4  Department of Automation, School of Information Engineering, University of Science and Technology Beijing  PhD

Work Experience：

       2000.4~2000.6 Department of Automation, School of Information Engineering, University of Science and Technology Beijing, Assistant

       2000.7~2002.6 Department of Automation, School of Information Engineering, University of Science and Technology Beijing, Lecturer

       2002.7~ 2009.6 Department of Automation, School of Information Engineering, University of Science and Technology Beijing, Associate Professor

       2009.7~  Department of Automation, School of Information Engineering, University of Science and Technology Beijing, Professor

       2006.2~2007.2  Department of Aeronautical Engineering, Ryerson University, Canada, A visiting scholar

       2012.7~2012.8 Department of Power Electronics Engineering, Nangyang Technological University, Singapore, A visiting scholar

       2013.8~  Department of Control Science and Engineering, School of Automation and Electrical Engineering, University of Science and Technology Beijing, Doctoral supervisor

Research Interests：

Intelligent control, Intelligent optimization theory, Intelligent robot, SLAM (Simultaneous Localization and Mapping), Cooperative control of multi-agents

Courses：

       Fundamentals of Circuit Analysis

       Intelligent Control Theory and Application

Selected Publications：

[1] Qing Li, Yuhang Yang, Yuzhen Zhang, Yukun Liu, Weicun Zhang, Jiarui Cui. RBF Networks-Based Weighted Multi-Model Adaptive Control for a Category of Nonlinear Systems with Jumping Parameters. IEEE Access, 2019, 7: 84929-84937, DOI: 10.1109/ACCESS.2019.2924478

[2] Qing Li, Yin Lu, Heng Wang, Xiaoge Cao, Jiarui Cui. Adaptive Prescribed Performance Fault Estimation and Accommodation for a Class of Stochastic Nonlinear Systems. IEEE Access, 2019, 7: 14139-14149. DOI: 10.1109/ACCESS.2019.2893272

[3] Qing Li, Huan Tang, Jiannan Chi, et al. Gesture Segmentation with Improved Maximum Between-cluster Variance Algorithm. Acta Automatica Sinica, 2017, 43(4): 528-537 (In Chinese)

[4] Qing Li, Chao Zhang, Peng Chen, Yixin Yin. Improved ant colony optimization algorithm based on particle swarm optimization. Control and Decision, 2013, 28(6): 873-878 (In Chinese)

[5] Yingying Ren, Qing Li, Dawei. Ding, X. Xie. Dissipativity-Preserving Model Reduction for Takagi-Sugeno Fuzzy Systems. IEEE Transactions on Fuzzy Systems, 2019, 27(4): 659-670.

[6] Zhiqiang Li, Qing Li, Da-Wei Ding. Integrated fault detection and control for two-dimensional Markovian jump systems. International Journal of Robust and Nonlinear Control, 2019, DOI: 10.1002/rnc.4691

[7] Yang Zheng, Qing Li, Jie Liu, etal. A cascaded method for text detection in natural scene images. Neurocomputing, 2017, 238: 307-315

[8] Huixiang Liu, Qing Li, Bin Yan, Lei Zhang, Yu Gu. Bionic Electronic Nose Based on MOS Sensors Array and Machine Learning Algorithms Used for Wine Properties Detection. Sensors, 2019, 19(1). DOI: 10.3390/s19010045

[9] Cong Xu, Qing Li, Dezheng Zhang, Yonghong Xie, Xisheng Li. Deep successor feature learning for text generation. Neurocomputing, https://doi.org/10.1016/j.neucom.2018.11.116

[10]          Peng Chen, Qing Li, Chao Zhang, etal. Hybrid chaos-based particle swarm optimization-ant colony optimization algorithm with asynchronous pheromone updating strategy for path planning of landfill inspection robots. International Journal of Advanced Robotic Systems, 2019, 16(4). DOI: 10.1177/1729881419859083

Selected Projects：

[1]              Unmanned management platform for tape system. Ansteel Group Corporation, 2018/06-2019/12, 1.05 million yuan, under research

[2]              A new method for electric energy measurement in electric vehicle to grid. Beijing Municipal Natural Science Foundation, 2018/01-2020/12, 200,000 yuan, under research

[3]              Numerical heap application software development, Key projects of national key R&D plan, 2017/11-2021/06, 968 million yuan, under research

[4]              Robust H∞ Control of Two-Dimensional Discrete Stochastic Systems Based on Wavelet-Kalman Filter, National Natural Science Foundation of China, 2017/01-2019/12, 200,000 Yuan, under research

Honors & Awards：

[1]              Construction and implementation of compound innovation talent cultivation system for the automation professional under the background of China engineering education accreditation, Beijing Municipal Education Commission, Beijing Higher Education Teaching Achievement Award, second prize, 2018

[2]              Research and application of smart mines for metallurgical mines, China Iron and Steel Industry Association, China Metals Society, Metallurgical Science and Technology Award, second prize, 2017

[3]              Seven-modules technical system and equipment for preventing and controlling of rock burst in coal mine and its application, China Coal Industry Association, Science and Technology Award, second prize, 2018