Speaker: Zhiqiang Gao、Xuejun Wang 、Wen Tan
Time: Sunday, 17 September 2023
Venue: Multifunctional Lecture Hall (First Floor), Conference Centre, East Campus, Beijing University of Chemical Technology
Abstract:ADRC represents a class of cutting-edge engineering control concepts. It is a control method that does not rely on complex mathematical models to cope with nonlinearity, uncertainty and perturbation, proposed by researcher Jingqing Han of the Chinese Academy of Sciences. This method absorbs the advantages of PID control, which is widely used in engineering, and boldly expands the state-space approach of modern control theory. The scholars represented by Zhiqiang Gao are committed to the promotion and application of ADRC, which makes ADRC break through the bottleneck of parameter rectification, and breaks through the monopoly of PID in the industrial world with the characteristics of high efficiency, robustness, energy saving, simplicity and ease of implementation, and achieves amazing energy saving effect on the production line, has been successively adopted by Texas Instrument, Parker-Hannifin and other multinational companies. This academic salon invites experts and scholars in the field of ADRC related fields to discuss and exchange ideas on topics such as academic cutting-edge dynamics and hot research directions in the field of self-immunity related fields, and provides a communication platform for experts, scholars and postgraduates in the field of self-immunity related fields. It aims to focus on the direction of the discipline, share cutting-edge academic achievements, exchange academic ideas and promote the development of the discipline.
Biography:
Zhiqiang Gao received his Ph.D. in Electrical Engineering from the University of Notre Dame in 1990 and he has taught at CSU ever since. Working quietly at CSU for over 20 years, Dr. Gao nurtured a ground-breaking, but obscure, idea from its early, conceptual stage to a maturing and emerging paradigm world-wide. Asking foundational questions, Dr. Gao and his team bring vitality back to industry practice and engineering education.
Xuejun Wang received the Ph.D. degree in mathematics from the University of Illinois at Chicago, Chicago, IL, USA. He is currently working as a Senior Principal Data Scientist at Morningstar Inc., an investment research and management firm headquartered in Chicago. His research interests include Al and machine learning, and its applications in financial services. He is an active researcher in area of recommender systems and application of large language models.
Wen Tan is a professor in the Department of Automation, North China Electric Power University. He received his B.S., M.S., and Ph.D. degrees from the Department of Mathematics, Xiamen University, the Department of System Science, Xiamen University, and the Department of Automatic Control, South China University of Technology. He is a member of IEEE. He was awarded the Second Prize of China Electric Power Science and Technology. He is currently engaged in the research of advanced control theory and technology, aimed at the modeling and control of complex systems such as power systems. Recently, he has been focusing on ADRC.