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DTSTART;TZID=America/New_York:20241024T120000
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CREATED:20241017T134335Z
LAST-MODIFIED:20241017T134335Z
UID:12415-1729771200-1729774800@seasevents.nmsdev7.com
SUMMARY:ESE PhD Seminar: "Learning Local Control Barrier Functions for Safety-Critical Hybrid Systems"
DESCRIPTION:Safety-critical control is one of the fundamental problems in autonomous systems. A special class of autonomous systems is the class of hybrid dynamical systems\, which involves both continuous dynamic flow and discrete dynamical mode jumps for state evolution. I will introduce how to synthesize safe controllers for hybrid dynamical systems based on local control barrier functions (CBFs)\, and such a framework enjoys flexibility\, non-conservativeness\, and computational advantage compared with existing safety-critical methods. Then\, I will show how to learn local CBFs for hybrid systems through self-supervision techniques. Finally\, I will briefly share some ideas on learning safe and adaptive controllers in multi-agents systems.
URL:https://seasevents.nmsdev7.com/event/ese-phd-seminar-learning-local-control-barrier-functions-for-safety-critical-hybrid-systems/
LOCATION:Raisler Lounge (Room 225)\, Towne Building\, 220 South 33rd Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Seminar,Colloquium
ORGANIZER;CN="Electrical and Systems Engineering":MAILTO:eseevents@seas.upenn.edu
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