Keynote Speech

Keynote Speech 5 :

Disturbance Rejection Model Predictive Control in Mechatronic Systems

Abstract:For mechatronic systems, different nonlinearities, variations of model parameters, unmodelled internal dynamics, noises, and external disturbances make control design a very challenging work. This presentation will talk about various advanced modelling, analysis, and control techniques for mechatronic control systems, especially focusing on disturbance rejection model predictive control (DR-MPC) solutions. Compared with other high gain control, optimal control methods, and disturbance observer-based control methods, DR-MPC solutions provide a different way to deliver optimization control in the presence of disturbances and constraints, thus can effectively improve the performance of closed-loop systems. New research developments and results will be introduced, including control design, performance improvement, and various experimental studies under disturbances.

Shihua Li received his bachelor, master, Ph.D. degrees all in Automatic Control from Southeast University, Nanjing, China in 1995, 1998 and 2001, respectively. Since 2001, he has been with School of Automation, Southeast University, where he is a Chief Professor, Jiangsu Specially Appointed Professor. He is the chairman of IEEE IES Nanjing Chapter, Fellow of IEEE, IET and AAIA. He is also the Director General of Jiangsu Association of Automation. His main research interests include modeling and nonlinear control theory with applications to mechatronic systems. He has published 3 monographs, over 300 international journal and conference papers with 26000+ citations (Google Scholar). He is one of Clarivate Analytics Highly Cited Researchers all over the world in 2017-2022. He is a winner of the 6th Nagamori Award in 2020.