BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:America/New_York BEGIN:DAYLIGHT DTSTART:20250309T030000 TZOFFSETFROM:-0500 TZOFFSETTO:-0400 RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3 TZNAME:EDT END:DAYLIGHT BEGIN:STANDARD DTSTART:20251102T010000 TZOFFSETFROM:-0400 TZOFFSETTO:-0500 RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11 TZNAME:EST END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20250707T153544Z UID:738CFF76-5281-4B0A-9375-23EF7B629472 DTSTART;TZID=America/New_York:20250707T103000 DTEND;TZID=America/New_York:20250707T113000 DESCRIPTION:[]\n\nJoin the IEEE Toronto Instrumentation & Measurement – R obotics & Automation Joint Chapter for a technical talk presented by Dr. B inyan Xu from University of Guelph.\n\nMonday\, July 7\, 2025 @ 10:30 – 11:30 AM (EST)\n\nAbstract: The use of Unmanned Aerial Vehicles (UAVs) has expanded significantly over recent decades\, driven by their flexibility\ , efficiency\, cost-effectiveness\, and capability to operate in dangerous or inaccessible environments. With rising demands\, UAV systems are incre asingly expected to achieve higher levels of autonomy. Model predictive co ntrol (MPC)\, an advanced control methodology that leverages online optimi zation\, provides notable advantages such as optimal performance\, efficie nt handling of multivariable systems\, and explicit constraint management\ , making it a promising solution for UAV control challenges. However\, ens uring closed-loop performance with manageable computational demands remain s challenging due to the highly nonlinear dynamics of UAVs and the computa tional complexity of MPC.\n\nThis talk introduces a Lyapunov-based MPC fra mework designed specifically to address these challenges\, offering stabil ized and computationally efficient MPC strategies tailored for UAV applica tions. Applications of this framework\, including trajectory tracking and formation control\, will be demonstrated to illustrate its effectiveness. Additionally\, the integration of this framework with other Lyapunov-based control techniques for handling unexpected actuator faults and communicat ion disruptions will be discussed\, highlighting its potential to further enhance UAV operational efficiency and reliability.\n\nSpeaker(s): Binyan Xu\, Ph.D.\, \n\nVirtual: https://events.vtools.ieee.org/m/487504 LOCATION:Virtual: https://events.vtools.ieee.org/m/487504 ORGANIZER:s.sedghizadeh.ca@ieee.org SEQUENCE:25 SUMMARY:Enhancing the Efficiency and Reliability of UAV Systems: A Lyapunov -Based Stabilizing Model Predictive Control Framework URL;VALUE=URI:https://events.vtools.ieee.org/m/487504 X-ALT-DESC:Description: <br /><p class="MsoNormal" style="margin-left: .5in \; background: white\;"><img style="display: block\; margin-left: auto\; m argin-right: auto\;" src="https://events.vtools.ieee.org/vtools_ui/media/d isplay/992a8729-7be9-4e26-b7f7-cd15e1b3be46" alt="" width="804" height="45 2"></p>\n<p>Join the&nbsp\;<strong>IEEE Toronto Instrumentation &amp\; Mea surement &ndash\; Robotics &amp\; Automation Joint Chapter</strong>&nbsp\; for a technical talk presented by&nbsp\;<strong>Dr. Binyan Xu </strong>fro m<strong> University of Guelph.</strong></p>\n<p><span style="color: rgb(1 86\, 55\, 42)\; font-size: 14pt\;"><strong>Monday\, July 7\, 2025 @ 10:30 &ndash\; 11:30 AM (EST)</strong></span></p>\n<p class="MsoNormal" style="m argin-left: .5in\; background: white\;"><strong><span style="font-size: 12 .0pt\; mso-ascii-font-family: Aptos\; mso-fareast-font-family: 'Times New Roman'\; mso-hansi-font-family: Aptos\; mso-bidi-font-family: Arial\; colo r: black\; mso-font-kerning: 0pt\; mso-ligatures: none\;">Abstract: </span ></strong><span style="font-size: 12.0pt\; mso-ascii-font-family: Aptos\; mso-fareast-font-family: 'Times New Roman'\; mso-hansi-font-family: Aptos\ ; mso-bidi-font-family: Arial\; color: black\; mso-font-kerning: 0pt\; mso -ligatures: none\;">The use of <strong>Unmanned Aerial Vehicles</strong> ( UAVs) has expanded significantly over recent decades\, driven by their fle xibility\, efficiency\, cost-effectiveness\, and capability to operate in dangerous or inaccessible environments. With rising demands\, UAV systems are increasingly expected to achieve higher levels of autonomy. Model pred ictive control (MPC)\, an advanced control methodology that leverages onli ne optimization\, provides notable advantages such as optimal performance\ , efficient handling of multivariable systems\, and explicit constraint ma nagement\, making it a promising solution for UAV control challenges. Howe ver\, ensuring closed-loop performance with manageable computational deman ds remains challenging due to the highly nonlinear dynamics of UAVs and th e computational complexity of MPC.</span></p>\n<p class="MsoNormal" style= "margin-left: .5in\; background: white\;"><span style="font-size: 12.0pt\; mso-ascii-font-family: Aptos\; mso-fareast-font-family: 'Times New Roman' \; mso-hansi-font-family: Aptos\; mso-bidi-font-family: Arial\; color: bla ck\; mso-font-kerning: 0pt\; mso-ligatures: none\;">&nbsp\;</span><span st yle="font-size: 12.0pt\; mso-ascii-font-family: Aptos\; mso-fareast-font-f amily: 'Times New Roman'\; mso-hansi-font-family: Aptos\; mso-bidi-font-fa mily: Arial\; color: black\; mso-font-kerning: 0pt\; mso-ligatures: none\; ">This talk introduces a <strong>Lyapunov-based MPC</strong> framework des igned specifically to address these challenges\, offering stabilized and c omputationally efficient MPC strategies tailored for UAV applications. App lications of this framework\, including trajectory tracking and formation control\, will be demonstrated to illustrate its effectiveness. Additional ly\, the integration of this framework with other Lyapunov-based control t echniques for handling unexpected actuator faults and communication disrup tions will be discussed\, highlighting its potential to further enhance UA V operational efficiency and reliability.</span></p>\n<p class="MsoNormal" style="margin-left: .5in\; background: white\;"><span style="font-size: 1 2.0pt\; mso-ascii-font-family: Aptos\; mso-fareast-font-family: 'Times New Roman'\; mso-hansi-font-family: Aptos\; mso-bidi-font-family: Arial\; col or: black\; mso-font-kerning: 0pt\; mso-ligatures: none\;">&nbsp\;</span>< /p> END:VEVENT END:VCALENDAR