时间：2025年02月21日（周五）下午03:10-04:40
Time: 15:10-16:40, Friday, February 21, 2025
地点：云谷校区E10-205
Venue: Room E10-205, Yungu Campus
主持人: 西湖大学工学院赵世钰博士
Host: Dr. Shiyu Zhao, School of Engineering
语言：英文
Language: English
主讲人简介/Biography:
Prof. Zhengtao Ding graduated with BEng from Tsinghua University, Beijing, China. He then studied control engineering in the Control Systems Centre, UMIST, with MSc in systems and control and PhD in control systems. He joined as a lecturer in School of Engineering, University of Manchester in September 2003 after having been a lecturer in Ngee Ann Polytechnic, Singapore, for ten years. He joined the Control Systems Centre, School of Electrical and Electronic Engineering in 2004, after the merger of the UMIST and Victoria University of Manchester, and he is now Professor of Control Systems in The University of Manchester. His research interests were initially focused on nonlinear and adaptive control theory, and more recently are focused on distributed optimization and control of network-connected dynamic systems, distributed learning and AI applications. His research projects cover various industrial applications, such as distributed optimization in micro grids, formation control of mobile robots and UAVs etc., He has published over 300 research papers, and authored/co-authored three books, including a book entitled “Nonlinear and Adaptive Control Systems” published by IET in 2013. He is a fellow of The Alan Turing Institute, the UK’s national institute for data science and artificial intelligence. He serves as the Editor-in-Chief for Drones and Autonomous Vehicles, and the Specialty Chief Editor for Nonlinear Control for Frontiers in Control Engineering, and he also serves as, or has been, an associate editor for IEEE Transactions on Automatic Control, IEEE Control Systems Letters, IEEE Transactions on Circuit and Systems II, Journal of Franklin Institute, International Journal of System Sciences, Transactions of Institute of Measurement and Control, Journal of Control Theory and Applications, International Journal of Computing and Automation, Unmanned Systems and several other journals.
讲座摘要/Abstract:
In this network-connected world, many tasks require coordination and cooperation of subsystems/agents via network connection. Multi-agent systems are good examples of interplay between network communication and control applications. Finite-time control and finite-time mechanisms have been significantly developed to ensure the convergence of controlled variables in finite-time, and hence it is very appealing to various applications, including cooperative control of autonomous systems such as robotics and vehicles. This talk will briefly review some fundamental concepts of multi-agent systems and finite-time control mechanisms, and their further developments in engineering applications. It will then focus on formation and cooperative control mobile robots and autonomous vehicles. In particular, the talk will cover in details of some important methods, such as affine and bearing-only formation control algorithms which rely on the stress matrices and bearing. It will also cover distributed motion control algorithms to ensure autonomous overtaking of autonomous vehicles in a dynamic environment using the Artificial Potential Field (APF) method based on a robust autonomous vehicle platoon system.
