Plenary Panel Session 2
Author:张虎山  Time:2022-01-20   Views:10

The 41st Chinese Control Conference (CCC 2022)

Plenary Panel Session 2

Title: Intelligent Monitoring and Control for Complex Systems (复杂系统智能监测与控制)

Chair: Min Wu, China University of Geosciences, China

Panelists: (By the alphabetic order of their surnames)

        Hua Geng (Tsinghua University, China)

        Yu Kang (University of Science and Technology of China, China)

        Wencao Xue (Chinese Academy of Sciences, China)

        Chunhui Zhao (Zhejiang University, China)

Abstract: The plenary panel session invites four distinguished scholars to share their research experience and original perspectives on “Intelligent Monitoring and Control for Complex Systems”. They will present the research progress and achievements on control and optimization of wind turbine clusters, comprehensive supervision of urban mobile source air pollution, extended state observer of more intelligence for uncertain systems, and intelligent monitoring for operating conditions of major equipment, and discuss some of the challenges and opportunities in these areas. Through the dialogue and interaction with these renowned experts, we aim to gain a deeper understanding of some fundamental and emerging issues in research and applications of intelligent monitoring and control for complex systems.

Hua Geng received the B.S. degree in electrical engineering from Huazhong University of Science and Technology, Wuhan,China, in 2003 and the Ph.D. degree in control theory and application from Tsinghua University, Beijing, China, in 2008. From 2008 to 2010, he was a Postdoctoral Research Fellow with the Department of Electrical and Computer Engineering, Ryerson University, Toronto, ON, Canada. He joined Automation Department of Tsinghua University in June 2010 and is currently a full professor.

His current research interests include advanced control on power electronics and renewable energy conversion systems. He has authored more than 170 technical publications and holds more than 20 issued Chinese/US patents. He is the editors of IEEE Trans. on Energy Conversion and IEEE Trans. on Sustainable Energy, associate editors of IEEE Trans. on Industry Applications, IET Renewable Power Generation, Control Engineering Practice. He served as general co-chairs, track chairs and session chairs of several IEEE conferences. He is an IEEE Fellow and an IET Fellow, convener of the modeling working group in IEC SC 8A.

Yu Kang received his PhD degree in control science and engineering from University of Science and Technology of China (USTC), Hefei, China, in 2005.

He is currently a full professor with Department of Automation, USTC and Institute of Advanced Technology, USTC. He is also the vice Dean of Faculty of Information and Intelligence, USTC, as well as Institute of Advanced Technology, USTC. His main research interests include monitoring of vehicle emissions, Markovian jump systems, human-machine hybrid intelligence, and smart manufacturing. He has authored more than 120 research articles and 50 invention patents in these fields, and is the receiver of many awards, including the Qiu Shi Distinguished Young Scholar awarded by the CAST, the Distinguished Young Scholar awarded by the NSFC, etc.

Wenchao Xue received B.S. degree in applied mathematics from Nankai University, in 2007, and Ph.D. degree in control theory from the Academy of Mathematics and Systems Science (AMSS), Chinese Academy of Sciences (CAS) in 2012.

He is now an Associate Professor of AMSS, CAS. His research interests include active disturbance rejection control, nonlinear uncertain system control and nonlinear uncertain system filtering. He was supported by National Natural Science Foundation of China for Excellent Young Scholars in 2022. He is in the editorial boards of IFAC Journal of Control Engineering Practice and Journal of Systems Sciences and Mathematic (In Chinese). He serves as the vice secretary-general of TCCT, Chinese Association of Automation, and is the member of Chinese Simulation Federation. He is a recipient of several conference paper awards including SCIS-CCC Poster Paper Award of CCC 2019.

Chunhui Zhao received Ph.D. degree from Northeastern University, China, in 2009. From 2009 to 2012, she was a Postdoctoral Fellow with the Hong Kong University of Science and Technology and the University of California, Santa Barbara, Los Angeles, CA, USA. From 2012 to 2014, she was a distinguished researcher with Zhejiang University and since Dec. 2014, she has been a Professor with the College of Control Science and Engineering, Zhejiang University, Hangzhou, China.

Her research interests include statistical machine learning and data mining for industrial application. She has authored or coauthored more than 150 papers in peer-reviewed international journals. She has published 2 monographs and authorized 50 invention patents. She is Principal Investigator of a Distinguished Young Scholar Program supported by the Natural Science Foundation of China. She has hosted more than 20 scientific research projects, including the NSFC funds, National key R&D project, provincial projects and corporate cooperation projects. She has received the Ministry of Education Natural Science Award and other provincial and ministerial awards. She also received more than ten academic awards, including the First Prize of Natural Science of Chinese Association of Automation, the First Young Women Scientists Award of Chinese Association of Automation, etc. She has served AE of three International Journals, including Journal of Process Control, Control Engineering Practice and Neurocomputing, and two domestic journals, including Control and Decision, and Control Engineering.