BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:America/Los_Angeles BEGIN:DAYLIGHT DTSTART:20250309T030000 TZOFFSETFROM:-0800 TZOFFSETTO:-0700 RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3 TZNAME:PDT END:DAYLIGHT BEGIN:STANDARD DTSTART:20251102T010000 TZOFFSETFROM:-0700 TZOFFSETTO:-0800 RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11 TZNAME:PST END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20250502T141553Z UID:E6937D21-8300-41BF-A27D-6704DE6C2799 DTSTART;TZID=America/Los_Angeles:20250501T154500 DTEND;TZID=America/Los_Angeles:20250501T173000 DESCRIPTION:Abstract\n\nAutonomous systems are increasingly pervasive\, cap able\, and complex—but behind every such system lie one or more feedback loops that shape how it senses\, decides\, and acts. Control theory has g uided feedback design for decades\, yet modern systems now expose the limi ts of its model-based foundations. The models it relies on are frequently inaccessible\, inaccurate\, or too rigid to fully exploit today’s data\, storage\, and computational resources. This talk explores a modeling appr oach grounded in behavioral systems theory\, where systems are defined not by equations but by the set of trajectories they exhibit. The structure —or “shape”—of this set determines not only its mathematical prope rties but\, crucially\, also its tractability\, governing the analytical a nd algorithmic tools suitable for analysis and design. I will show how thi s framework offers a principled bridge between parametric and non-parametr ic representations\, enabling scalable\, adaptive\, and certifiable contro l in real-world settings—from fault detection in building automation sys tems\, to certification in algorithmic pipelines\, to large-scale control in urban traffic networks. I will conclude by outlining emerging direction s and open challenges\, including nonlinear and distributed dynamics\, unc ertainty quantification\, and architectural considerations.\n\nCo-sponsore d by: nagamune@mech.ubc.ca\n\nSpeaker(s): Alberto \, \n\nAgenda: \nAgenda: \n\nGathering: 3:45pm - 4:00pm\n\nTalk followed by Q&A: 4pm - 5:30pm\n\nRo om: 1203\, Bldg: CEME \, UBC Point Grey Campus\, 6250 Applied Science Lane \, Vancouver \, British Columbia\, Canada\, Virtual: https://events.vtools .ieee.org/m/479975 LOCATION:Room: 1203\, Bldg: CEME \, UBC Point Grey Campus\, 6250 Applied Sc ience Lane\, Vancouver \, British Columbia\, Canada\, Virtual: https://eve nts.vtools.ieee.org/m/479975 ORGANIZER:kihas@ieee.org SEQUENCE:60 SUMMARY:The Shape of Dynamics by Dr. Alberto Padoan\, UBC URL;VALUE=URI:https://events.vtools.ieee.org/m/479975 X-ALT-DESC:Description: <br /><p><strong><u><span style="color: black\;">Ab stract</span></u></strong></p>\n<p style="caret-color: rgb(0\, 0\, 0)\;" d ata-pm-slice="1 1 []"><span style="color: black\;">Autonomous systems are increasingly pervasive\, capable\, and complex&mdash\;but behind every suc h system lie one or more feedback loops that shape how it senses\, decides \, and acts. Control theory has guided feedback design for decades\, yet m odern systems now expose the limits of its model-based foundations. The mo dels it relies on are frequently inaccessible\, inaccurate\, or too rigid to fully exploit today&rsquo\;s data\, storage\, and computational resourc es. This talk explores a modeling approach grounded in behavioral systems theory\, where systems are defined not by equations but by the set of traj ectories they exhibit. The structure&mdash\;or &ldquo\;shape&rdquo\;&mdash \;of this set determines not only its mathematical properties but\, crucia lly\, also its tractability\, governing the analytical and algorithmic too ls suitable for analysis and design. I will show how this framework offers a principled bridge between parametric and non-parametric representations \, enabling scalable\, adaptive\, and certifiable control in real-world se ttings&mdash\;from fault detection in building automation systems\, to cer tification in algorithmic pipelines\, to large-scale control in urban traf fic networks. I will conclude by outlining emerging directions and open ch allenges\, including nonlinear and distributed dynamics\, uncertainty quan tification\, and architectural considerations.</span></p>\n<p style="caret -color: rgb(0\, 0\, 0)\;" data-pm-slice="1 1 []">&nbsp\;</p><br /><br />Ag enda: <br /><p>Agenda:</p>\n<p>Gathering: 3:45pm - 4:00pm</p>\n<p>Talk fol lowed by Q&amp\;A: 4pm - 5:30pm&nbsp\;</p>\n<p class="MsoNormal">&nbsp\;</ p> END:VEVENT END:VCALENDAR