报告形式：腾讯会议
报 告 人：Wojciech Paszke，波兰绿山大学（University of Zielona Gora）副教授
报告主题：Machine Learning and Iterative Learning Control
（一）
报告时间：3月8日（星期三）16:05 – 17:35
会 议 ID：632-731-555
主要内容：Introduction to Iterative Learning control. This lecture provides some basics on iterative learning control. These facts will be presented in connection with the practical applications of ILC. Some links with 2-D systems are described too.
（二）
报告时间：3月10日（星期五）16:05 – 17:35
会 议 ID：759-889-114
主要内容：Analysis, performance and robustness. This lecture describes in details the most important issues for ILC analysis and synthesis. It proposes and analyzes major techniques and methods for these purposes and shows some advantages and disadvantages of time and frequency domain methods.
（三）
报告时间：3月15日（星期三）16:05 – 17:35
会 议 ID：218-544-565
主要内容：Standard design procedures for ILC schemes. During this lecture we will explore several well known approaches to design ILC schemes. This allows to presents the relationships among these design methods and indicates essential factors for improving tracking performance. With some intuitive examples this lecture will make the content more accessible.
报告人简介：Wojciech Paszke was born in Zielona Gora, Poland, in 1975. He received his M.Sc. and Ph.D. degrees, both in electrical engineering, from the Technical University of Zielona Gora, in 2000 and 2005, respectively. Between 2008 and 2010 he was affiliated to Eindhoven University of Technology, The Netherlands, where he has been a control systems expert on high precision positioning of electron microscope. Currently, he is affiliated to the Institute of Automation, Electronic and Electrical Engineering at the University of Zielona Gora, Poland. His major interest is mainly in the field of multidimensional (nD) systems, repetitive processes, iterative learning control schemes and convex optimization techniques for solving of robust control problems. Wojciech Paszke is serving as Editor for Multidimensional Systems and Signal Processing (Springer-Verlag).
