学术报告第201804期

报告题目：Model Predictive Control (MPC) for Motion Control Systems: Some Results and Challenges

报 告 人：Yang Shi教授University of Victoria加拿大

报告时间：2018年2月24日15:00

报告地点：南一楼中311室

摘要:

Model predictive control (MPC) is a promising paradigm for high-performance and cost-effective control of motion control systems. This talk will firstly briefly introduce the essential design idea and diagrams of MPC. Further, the robust MPC and distributed MPC design methods will be presented. Finally, the application of MPC algorithms to autonomous vehicles will be illustrated; some practical challenges and future research will be described.

报告人简介:

Yang SHI received the Ph.D. degree in electrical and computer engineering from the University of Alberta, Edmonton, AB, Canada, in 2005. From 2005 to 2009, he was an Assistant Professor and Associate Professor in the Department of Mechanical Engineering, University of Saskatchewan, Saskatoon, Saskatchewan, Canada. In 2009, he joined the University of Victoria, and now he is a Professor in the Department of Mechanical Engineering, University of Victoria, Victoria, British Columbia, Canada. His current research interests include networked and distributed systems, model predictive control (MPC), cyber-physical systems (CPS), robotics and mechatronics, navigation and control of autonomous systems (AUV and UAV), and energy system applications.

Dr. Shi received the University of Saskatchewan Student Union Teaching Excellence Award in 2007. At the University of Victoria, he received the Faculty of Engineering Teaching Excellence in 2012, and the Craigdarroch Silver Medal for Excellence in Research in 2015. He received the JSPS Invitation Fellowship (short-term), and was a Visiting Professor at the University of Tokyo during Nov-Dec 2013. In Dec. 2017, he received the Humboldt Research Fellowship for Experienced Researchers. His co-authored paper was awarded the 2017 IEEE Transactions on Fuzzy Systems Outstanding Paper Award. He is the founding Vice Chair of IEEE IES Technical Committee on Industrial Cyber-Physical Systems. He serves as Co-Editor-in-Chief of IEEE Trans. Industrial Electronics; also he is Associate Editor for Automatica, IEEE Trans. Control Systems Technology, IEEE/ASME Trans. Mechatrnonics, IEEE Trans. Cybernetics, IET Control Theory and Applications, ASME Journal of Dynamic Systems, Measurement, and Control. He is a Fellow of IEEE, ASME and CSME, and a registered Professional Engineer in British Columbia, Canada.