BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:PST8PDT BEGIN:DAYLIGHT DTSTART:20210314T030000 TZOFFSETFROM:-0800 TZOFFSETTO:-0700 RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3 TZNAME:PDT END:DAYLIGHT BEGIN:STANDARD DTSTART:20201101T010000 TZOFFSETFROM:-0700 TZOFFSETTO:-0800 RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11 TZNAME:PST END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20201213T164437Z UID:692257F9-2941-40E0-9CEE-D8109B3427FF DTSTART;TZID=PST8PDT:20201208T160000 DTEND;TZID=PST8PDT:20201208T173000 DESCRIPTION:Dear All\,\n\nWe are pleased to invite you to the following web inar in organization of IEEE Joint CS - RAS - SMC Chapter of Vancouver Sec tion. This free webinar is open to everyone. Please feel free to invite yo ur friends and colleagues. We would appreciate everyone to register using the link from this notice. The link to webinar will be shared to all regis trants prior to the event.\n\nThank you\,\n\nIEEE Joint CS - RAS - SMC Cha pter of Vancouver Section\n\n_____________________________________________ ________________________________________________________________________\n \nTitle: A Robust Model Predictive Control for Intelligent Mechatronic Sys tems\n\nSpeaker: Yang Shi\, Professor\, University of Victoria\, Fellow of EIC\, IEEE\, ASME\, CSME\n\nAbstract:\n\nNetworked and distributed contro l for mechatronic systems have received great attention in the control com munity due to its wide application areas. Network-induced limitations may be caused by the presence of a communication channel\, or because of the e fficient assignment of power and other limited resources. Intelligent mech atronic systems represent a large class of smart systems that encompass co mputational (i.e.\, hardware and software) and physical components\, seaml essly integrated and closely interacting to autonomously sense and manipul ate the changing state of the physical system. These systems involve a hig h 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-performa nce and cost-effective control of networked and distributed mechatronic sy stems. This talk will firstly summarize the major application requirements and challenges to tackle and innovate in designing\, implementing\, deplo ying and operating intelligent mechatronic systems. Further\, the robust M PC and distributed MPC design methods will be presented. Finally\, the app lication of MPC algorithms to intelligent mechatronic systems will be illu strated.\n\nBio:\n\nYang SHI received the Ph.D. degree in electrical and c omputer engineering from the University of Alberta\, Edmonton\, AB\, Canad a\, in 2005. From 2005 to 2009\, he was an Assistant Professor and Associa te Professor in the Department of Mechanical Engineering\, University of S askatchewan\, Saskatoon\, SK\, Canada. In 2009\, he joined the University of Victoria\, and now he is a Professor in the Department of Mechanical En gineering\, University of Victoria\, Victoria\, BC\, Canada. His current r esearch interests include networked and distributed systems\, model predic tive control (MPC)\, cyber-physical systems (CPS)\, robotics and mechatron ics\, navigation and control of autonomous systems (AUV and UAV)\, and ene rgy system applications.\nDr. Shi received the University of Saskatchewan Student Union Teaching Excellence Award in 2007\, and the Faculty of Engin eering Teaching Excellence Award in 2012 at the University of Victoria (UV ic). He is the recipient of the JSPS Invitation Fellowship (short-term) in 2013\, the UVic Craigdarroch Silver Medal for Excellence in Research in 2 015\, 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 E valuation Committee during 2017-2019\; he is the Chair of IEEE IES Technic al Committee on Industrial Cyber-Physical Systems. Currently\, he is Co-Ed itor-in-Chief for IEEE Transactions on Industrial Electronics\; he also se rves as Associate Editor for Automatica\, IEEE Transactions on Control Sys tems Technology\, IEEE/ASME Transactions on Mechatronics\, IEEE Transactio ns on Cybernetics\, etc. He is General Chair of the 2019 International Sym posium on Industrial Electronics (ISIE) and the 2021 International Confere nce on Industrial Cyber-Physical Systems (ICPS).\nHe is a Fellow of IEEE\, ASME\, Engineering Institute of Canada (EIC)\, and Canadian Society for M echanical Engineering (CSME)\, and a registered Professional Engineer in B ritish Columbia\, Canada.\n\nSpeaker(s): Prof. Dr. Yang Shi\, \n\nAgenda: \nTuesday December 8th\, 4pm-5:30pm\n\nWebinar. Free Event. Everyone Welco med. Please invite your friends and colleagues. Registration required.\n\n Webinar Link Info to be emailed upon registration.\n\nVancouver \, British Columbia\, Canada\, Virtual: https://events.vtools.ieee.org/m/248363 LOCATION:Vancouver \, British Columbia\, Canada\, Virtual: https://events.v tools.ieee.org/m/248363 ORGANIZER:CSRASMCVancouver@gmail.com SEQUENCE:7 SUMMARY:Webinar: A Robust Model Predictive Control for Intelligent Mechatro nic Systems - Speaker: Yang Shi\, Professor\, U. of Victoria\, Fellow of E IC\, IEEE\, ASME\, CSME - Organizer: IEEE joint Control\, Robotics\, and C ybernetics Chapter of the Vancouver Section URL;VALUE=URI:https://events.vtools.ieee.org/m/248363 X-ALT-DESC:Description: <br /><p>Dear All\,</p>\n<p>We are pleased to invit e you to the following webinar in organization of IEEE Joint CS - RAS - SM C Chapter of Vancouver Section. This free webinar is open to everyone. Ple ase feel free to invite your friends and colleagues. We would appreciate e veryone to register using the link from this notice. The link to webinar w ill be shared to all registrants prior to the event.</p>\n<p>Thank you\,</ p>\n<p>IEEE Joint CS - RAS - SMC Chapter of Vancouver Section</p>\n<p>____ __________________________________________________________________________ _______________________________________</p>\n<p>Title:&nbsp\;A Robust Mode l Predictive Control for Intelligent Mechatronic Systems</p>\n<p>Speaker:& nbsp\;Yang Shi\, Professor\, University of Victoria\, Fellow of EIC\, IEEE \, ASME\, CSME</p>\n<p>&nbsp\;</p>\n<p>Abstract:</p>\n<p>Networked and dis tributed control for mechatronic systems have received great attention in the control community due to its wide application areas. Network-induced l imitations may be caused by the presence of a communication channel\, or b ecause of the efficient assignment of power and other limited resources. I ntelligent mechatronic systems represent a large class of smart systems th at encompass computational (i.e.\, hardware and software) and physical com ponents\, seamlessly integrated and closely interacting to autonomously se nse and manipulate the changing state of the physical system. These system s involve a high degree of complexity at numerous spatial and temporal sca les and highly networked communications integrating computational and phys ical components. Model predictive control (MPC) is a promising paradigm fo r high-performance and cost-effective control of networked and distributed mechatronic systems. This talk will firstly summarize the major applicati on requirements and challenges to tackle and innovate in designing\, imple menting\, deploying and operating intelligent mechatronic systems. Further \, the robust MPC and distributed MPC design methods will be presented. Fi nally\, the application of MPC algorithms to intelligent mechatronic syste ms will be illustrated.</p>\n<p><br />Bio:</p>\n<p>Yang SHI received the P h.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 Mechanica l Engineering\, University of Saskatchewan\, Saskatoon\, SK\, Canada. In 2 009\, he joined the University of Victoria\, and now he is a Professor in the Department of Mechanical Engineering\, University of Victoria\, Victor ia\, BC\, Canada. His current research interests include networked and dis tributed 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. <br />Dr. Shi rece ived the University of Saskatchewan Student Union Teaching Excellence Awar d in 2007\, and the Faculty of Engineering Teaching Excellence Award in 20 12 at the University of Victoria (UVic). He is the recipient of the JSPS I nvitation Fellowship (short-term) in 2013\, the UVic Craigdarroch Silver M edal for Excellence in Research in 2015\, the 2017 IEEE Transactions on Fu zzy Systems Outstanding Paper Award\, the Humboldt Research Fellowship for Experienced Researchers in 2018. He is a member of the IEEE IES Administr ative Committee and the IES Fellow Evaluation Committee during 2017-2019\; he is the Chair of IEEE IES Technical Committee on Industrial Cyber-Physi cal Systems. Currently\, he is Co-Editor-in-Chief for IEEE Transactions on Industrial Electronics\; he also serves as Associate Editor for Automatic a\, IEEE Transactions on Control Systems Technology\, IEEE/ASME Transactio ns 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 Syste ms (ICPS). <br />He is a Fellow of IEEE\, ASME\, Engineering Institute of Canada (EIC)\, and Canadian Society for Mechanical Engineering (CSME)\, an d a registered Professional Engineer in British Columbia\, Canada.</p>\n<p >&nbsp\;</p>\n<p>&nbsp\;</p><br /><br />Agenda: <br /><p>Tuesday December 8th\, 4pm-5:30pm</p>\n<p>Webinar. Free Event. Everyone Welcomed. Please in vite your friends and colleagues.&nbsp\;Registration required.&nbsp\;</p>\ n<p>Webinar Link Info to be emailed upon registration.&nbsp\;</p> END:VEVENT END:VCALENDAR