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时间:2020-12-11 作者:


报 告 人:丁正桃 教授,英国曼彻斯特大学电子与电气工程系

报告时间:2020年12月11日 下午4:00-5:30

会议平台:ZOOM ID: 910 0734 0446


There are many challenges and opportunities, such internet of things, big data, machine learning, smart grid etc in the area of network-connected systems and control applications, in particular, in the areas relating to distributed learning, optimisation, decision making and control. This talk will cover some recent activities in relation to multi-agent applications carried out in the speaker’s group in University of Manchester, including machine learning via network consensus, formation control of mobile robots, distributed optimization using algorithms based on multi-agents, distributed optimization for applications in power systems such as power dispatch, applications to optimal coverage etc. The speaker will review some fundamental concepts of network-connected dynamic systems and basic analytic tools for consensus-based distributed algorithms, and the presentation will focus on distributed algorithms, and motivations to the algorithm design from a control perspective.


Zhengtao Ding received B.Eng. degree from Tsinghua University, Beijing, China, and M.Sc. degree in systems and control, and the Ph.D. degree in control systems from the University of Manchester Institute of Science and Technology, Manchester, U.K. After working as a Lecturer with Ngee Ann Polytechnic, Singapore, for ten years, he joined the University of Manchester in 2003, where he is currently Professor of Control Systems with the Department of Electrical and Electronic Engineering. He is the author of the book: Nonlinear and Adaptive Control Systems (IET, 2013) and has published over 300 research articles. His research interests include nonlinear and adaptive control theory and their applications, more recently network-based control, distributed optimization and distributed learning, with applications to power systems and robotics. Prof. Ding has served as the Subject Chef Editor of Nonlinear Control for Frontiers, and Associate Editor for the IEEE Transactions on Automatic Control, IEEE Control Systems Letters, Transactions of the Institute of Measurement and Control, Control Theory and Technology, Mathematical Problems in Engineering, Unmanned Systems, and the International Journal of Automation and Computing, etc. He is a member of IEEE Technical Committee on Nonlinear Systems and Control, IEEE Technical Committee on Intelligent Control, and IFAC Technical Committee on Adaptive and Learning Systems.