BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:America/New_York BEGIN:DAYLIGHT DTSTART:20260308T030000 TZOFFSETFROM:-0500 TZOFFSETTO:-0400 RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3 TZNAME:EDT END:DAYLIGHT BEGIN:STANDARD DTSTART:20261101T010000 TZOFFSETFROM:-0400 TZOFFSETTO:-0500 RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11 TZNAME:EST END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20260910T223534Z UID:7F4232FF-083F-4427-8635-7E9E47269DB7 DTSTART;TZID=America/New_York:20260915T150000 DTEND;TZID=America/New_York:20260915T160000 DESCRIPTION:IEEE PELS Toronto Chapter Seminars: Advanced Control and Optimi zation for Intelligent and Sustainable Mobility Systems\n\nAbstract:\n\nTh e rapid development of vehicle electrification\, autonomous driving\, and intelligent transportation systems is creating new opportunities for safer \, more efficient\, and more sustainable mobility. This seminar presents r ecent research conducted in our laboratory on advanced control and optimiz ation methods for intelligent mobility systems. The talk will introduce se veral research topics spanning vehicle control\, autonomous driving\, and mobility optimization. These include energy-efficient control of electrifi ed vehicles\, autonomous driving and path-following control\, and optimiza tion of smart mobility services. Particular attention will be given to the integration of model-based control\, optimization\, and data-driven appro aches\, including model predictive control\, Lyapunov-based control. Throu gh simulation and experimental studies involving electric vehicles\, auton omous mobile robots\, and mobility systems\, the seminar will discuss how these approaches can improve energy efficiency\, safety\, mobility\, and c ontrol performance.\n\nBio:\n\nWenjing Cao is an Associate Professor in th e Department of Engineering and Applied Sciences at Sophia University\, To kyo\, Japan\, and is currently a visiting researcher at the University of Torontao. Her research focuses on control engineering and its applications to intelligent and sustainable mobility systems\, including autonomous dr iving\, vehicle dynamics and control\, energy management of electrified ve hicles\, mobile robotics\, and smart mobility services. Her work integrate s advanced control\, optimization\, and data-driven approaches to improve the safety\, energy efficiency\, and performance of future transportation systems.\n\n[]\n\n Sandford Fleming Building (10 King’s College Road)\, Room SF 2104\, Toronto\, Ontario\, Canada LOCATION: Sandford Fleming Building (10 King’s College Road)\, Room SF 2 104\, Toronto\, Ontario\, Canada ORGANIZER:daifei.zhang@utoronto.ca SEQUENCE:29 SUMMARY: IEEE PELS Toronto Chapter Seminars: Advanced Control and Optimiza tion for Intelligent and Sustainable Mobility Systems URL;VALUE=URI:https://events.vtools.ieee.org/m/577016 X-ALT-DESC:Description: <br /><h3 class="ieee_primary_blue">&nbsp\;IEEE PEL S Toronto Chapter Seminars: Advanced Control and Optimization for Intellig ent and Sustainable Mobility Systems&nbsp\;</h3>\n<p data-ogsb="white"><sp an data-ogsc="rgb(36\, 36\, 36)"><strong data-ogsc="" data-olk-copy-source ="MessageBody">Abstract:</strong></span></p>\n<p data-ogsb="white"><span d ata-ogsc="rgb(36\, 36\, 36)">The rapid development of vehicle electrificat ion\, autonomous driving\, and intelligent transportation systems is creat ing new opportunities for safer\, more efficient\, and more sustainable mo bility. This seminar presents recent research conducted in our laboratory on advanced control and optimization methods for intelligent mobility syst ems. The talk will introduce several research topics spanning vehicle cont rol\, autonomous driving\, and mobility optimization. These include energy -efficient control of electrified vehicles\, autonomous driving and path-f ollowing control\, and optimization of smart mobility services. Particular attention will be given to the integration of model-based control\, optim ization\, and data-driven approaches\, including model predictive control\ , Lyapunov-based control. Through simulation and experimental studies invo lving electric vehicles\, autonomous mobile robots\, and mobility systems\ , the seminar will discuss how these approaches can improve energy efficie ncy\, safety\, mobility\, and control performance.</span></p>\n<p data-ogs b="white">&nbsp\;</p>\n<p data-ogsb="white"><strong>Bio:</strong></p>\n<di v data-ogsb="white">\n<p><span data-ogsc="rgb(36\, 36\, 36)">Wenjing Cao i s an Associate Professor in the Department of Engineering and Applied Scie nces at Sophia University\, Tokyo\, Japan\, and is currently a visiting re searcher at the University of Torontao. Her research focuses on control en gineering and its applications to intelligent and sustainable mobility sys tems\, including autonomous driving\, vehicle dynamics and control\, energ y management of electrified vehicles\, mobile robotics\, and smart mobilit y services. Her work integrates advanced control\, optimization\, and data -driven approaches to improve the safety\, energy efficiency\, and perform ance of future transportation systems.</span></p>\n<p><img src="https://ev ents.vtools.ieee.org/vtools_ui/media/display/ecd5b99f-4d0b-4de3-bf6b-1c8c6 a43c674" alt="" width="512" height="512"></p>\n</div> END:VEVENT END:VCALENDAR