Comments on Machine Learning versus Control Design

机器学习VS控制设计

Minyue Fu

The University of Newcastle, Australia

Abstract:

In this talk, we will analyse the similarities and differences between two vastly different approaches to control system design: model-based classical control design and model-free machine learning. Opportunities and challenges for using machine learning in control design will be commented. Reinforcement learning based control design approach will be briefly discussed.

Speaker’s Biography:

Minyue Fu received his Bachelor's Degree in Electrical Engineering from the University of Science and Technology of China, Hefei, China, in 1982, and Master and Ph.D. degrees in Electrical Engineering from University of Wisconsin-Madison, USA in 1983 and 1987, respectively. From 1987 to 1989, he served as an Assistant Professor in the Department of Electrical and Computer Engineering, Wayne State University, USA. He joined the University of Newcastle, Australia, in 1989 and became a Chair Professor in Electrical Engineering in 2003. His main research interests include control systems, signal processing and communications. He has been an Associate Editor for the IEEE Transactions on Automatic Control, IEEE Transactions on Signal Processing, Automatica and Journal of Optimization and Engineering. He is a Fellow of IEEE.

 Transactions on Automatic Control, IEEE Transactions on Signal Processing, Automatica and Journal of Optimization and Engineering. He is a Fellow of IEEE.

校内邀请人：隋天举，电信学部控制科学与工程学院

报告时间：2021年5月6日10:00-11:00

参会方式：腾讯会议 ID：724 403 759

会议二维码

活动简介：

“电信学部海外学者在线报告”是电信学部为促进学部师生与国际学者的学术交流所举办的系列在线讲座活动，内容涵盖电信学部下属所有学院的科研方向，每周聘请一名海外知名学者分享学术成果，碰撞思想火花。活动信息敬请关注“电子信息与电气工程学部”公众号和电信学部官网左上角的“学术科研活动”栏目, 期待广大师生积极参与！