Cancelled - Exploring the Excitement among Data, Network, Optimisation and Control Research Seminar
|Starts:||13:00 18 Mar 2020|
|Ends:||15:00 18 Mar 2020|
|What is it:||Seminar|
|Organiser:||Department of Electrical and Electronic Engineering|
|Who is it for:||University staff, Adults, Current University students|
|Speaker:||Prof Zhengtao Ding|
Unfortunately, the research seminar has been postponed. A new date will be announced shortly.
There are many challenges and opportunities, such network connection, big data, machine learning, smart grid etc in the 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 presentation will focus on distributed algorithms, and motivations to the algorithm design from a control perspective.
Prof Zhengtao Ding
Role: Chair in Control Systems
Organisation: University of Manchester
Biography: Prof. 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 Dept of Electrical and Electronic Engineering. He is the author of the book: Nonlinear and Adaptive Control Systems (IET, 2013) and has published over 200 research articles. His research interests include nonlinear and adaptive control theory and their applications, and more recently network-based control, distributed optimisation and distributed learning, with applications to power systems and robotics. In Manchester, he has been lecturing linear control systems to undergraduates and nonlinear control to postgraduates for over 10 years.
Travel and Contact Information
Sackville Street Building