报告题目：Data driven control of unknown nonlinear systems using Extremum seeking control

报告人：Martin Guay，Department of Chemical Engineering,  Queen’s University

报告时间：2022年4月26日9:40-11:00

内容简介：

Data driven control techniques have emerged as a possible alternative to learning techniques. However, the application of data driven control for nonlinear systems remains an open problem. In this presentation, we seek to review some of the outstanding developments on the generalization of extremum seeking control as a potential alternative to existing data-driven techniques. In particular, it is shown how one can apply this technique to design reliable control systems that require only limited knowledge of the process dynamics. The results will seek to address some of the limitations of the proposed data driven approach. Specific examples from biotechnology and large-scale aerospace applications are addressed to demonstrate the applicability of the proposed approach.

报告人简介：

Martin Guay obtained his Ph.D in Chemical Engineering and Biochemistry from the University Ottawa in 1996. He joined the Department of Chemical Engineering at Queen’s University in 1999, where he has been ever since. His research interests are in the area of process control, control theory and applied statistics, contributing to over 300 peer-reviewed publications together with books published by Springer-Verlag and IET publications. In 2018, he was awarded the D.G. Fisher Award from the Canadian Society of Chemical Engineers for his outstanding contribution to the Control and Systems division. Since 2002, he has served as Associate Editor for Automatica. He is also Associate Editor for the IEEE Transactions on Automatic Control. He is the Editor-in-Chief of Journal of Process Control and Senior Editor for the IEEE Control Systems Society Letters. He is also a review editor for the Canadian Chemical Engineering Journal and Associate Editor for the IFAC Journal Nonlinear Analysis and Hybrid Systems.