Webinar: A Robust Model Predictive Control for Intelligent Mechatronic Systems - Speaker: Yang Shi, Professor, U. of Victoria, Fellow of EIC, IEEE, ASME, CSME - Organizer: IEEE joint Control, Robotics, and Cybernetics Chapter of the Vancouver Section : vTools Events

IEEE.org | IEEE Xplore Digital Library | IEEE Standards | IEEE Spectrum | More Sites

Webinar: A Robust Model Predictive Control for Intelligent Mechatronic Systems - Speaker: Yang Shi, Professor, U. of Victoria, Fellow of EIC, IEEE, ASME, CSME - Organizer: IEEE joint Control, Robotics, and Cybernetics Chapter of the Vancouver Section

#Networked #control #distributed #mechatronic #systems #communication #channel #intelligent #autonomous #model #predictive #algorithms

Webinar: A Robust Model Predictive Control for Intelligent Mechatronic Systems

Speaker: Yang Shi, Professor, University of Victoria, Fellow of EIC, IEEE, ASME, CSME

Organizer: IEEE joint Control, Robotics, and Cybernetics Chapter of the Vancouver Section

Dear All,

We are pleased to invite you to the following webinar in organization of IEEE Joint CS - RAS - SMC Chapter of Vancouver Section. This free webinar is open to everyone. Please feel free to invite your friends and colleagues. We would appreciate everyone to register using the link from this notice. The link to webinar will be shared to all registrants prior to the event.

Thank you,

IEEE Joint CS - RAS - SMC Chapter of Vancouver Section

_____________________________________________________________________________________________________________________

Title: A Robust Model Predictive Control for Intelligent Mechatronic Systems

Speaker: Yang Shi, Professor, University of Victoria, Fellow of EIC, IEEE, ASME, CSME

Abstract:

Networked and distributed control for mechatronic systems have received great attention in the control community due to its wide application areas. Network-induced limitations may be caused by the presence of a communication channel, or because of the efficient assignment of power and other limited resources. Intelligent mechatronic systems represent a large class of smart systems that encompass computational (i.e., hardware and software) and physical components, seamlessly integrated and closely interacting to autonomously sense and manipulate the changing state of the physical system. These systems involve a high degree of complexity at numerous spatial and temporal scales and highly networked communications integrating computational and physical components. Model predictive control (MPC) is a promising paradigm for high-performance and cost-effective control of networked and distributed mechatronic systems. This talk will firstly summarize the major application requirements and challenges to tackle and innovate in designing, implementing, deploying and operating intelligent mechatronic systems. Further, the robust MPC and distributed MPC design methods will be presented. Finally, the application of MPC algorithms to intelligent mechatronic systems will be illustrated.

Bio:

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, SK, 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, BC, 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, and the Faculty of Engineering Teaching Excellence Award in 2012 at the University of Victoria (UVic). He is the recipient of the JSPS Invitation Fellowship (short-term) in 2013, the UVic Craigdarroch Silver Medal for Excellence in Research in 2015, the 2017 IEEE Transactions on Fuzzy Systems Outstanding Paper Award, the Humboldt Research Fellowship for Experienced Researchers in 2018. He is a member of the IEEE IES Administrative Committee and the IES Fellow Evaluation Committee during 2017-2019; he is the Chair of IEEE IES Technical Committee on Industrial Cyber-Physical Systems. Currently, he is Co-Editor-in-Chief for IEEE Transactions on Industrial Electronics; he also serves as Associate Editor for Automatica, IEEE Transactions on Control Systems Technology, IEEE/ASME Transactions on Mechatronics, IEEE Transactions on Cybernetics, etc. He is General Chair of the 2019 International Symposium on Industrial Electronics (ISIE) and the 2021 International Conference on Industrial Cyber-Physical Systems (ICPS).
He is a Fellow of IEEE, ASME, Engineering Institute of Canada (EIC), and Canadian Society for Mechanical Engineering (CSME), and a registered Professional Engineer in British Columbia, Canada.