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PRODID:-//Memento EPFL//
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SUMMARY:MechE Colloquium: To model.predict\, or not to model.predict\, tha
 t is the question [seminar co-sponsored by the IEEE-CSS]
DTSTART:20230523T120000
DTEND:20230523T130000
DTSTAMP:20260408T121717Z
UID:49b3b5ac310d93be8aa87396ee83270e43af8c42a8ecd0fd01cb4fa3
CATEGORIES:Conferences - Seminars
DESCRIPTION:Prof. Francesco Borrelli\, Mechanical Engineering\, University
  of California Berkeley (UC Berkeley)\nThis seminar is co-sponsored by the
  IEEE-CSS.\n\nAbstract: The complexity of modern autonomous systems has gr
 own exponentially in the past decade. Today's end-to-end control demonstra
 tion have reached an impressive level of performance with apparently no mo
 deling effort. Yet\, delivering high performance autonomy which is safe d
 espite environment uncertainty seems to be critically linked to the abilit
 y of modeling and predicting the uncertain environment.\nOur research over
  the past decade has focused on control design for autonomous systems whic
 h systematically incorporate predictions and learning while guaranteeing s
 afety. In this talk I will provide an overview of the theory and tools tha
 t we have developed in this area\, address comparison with model-free appr
 oaches\,  and discuss key open questions.\n\nMore info on: www.mpc.berkel
 ey.edu\n\nBiography: Francesco Borrelli received the 'Laurea' degree in co
 mputer science engineering in 1998 from the University of Naples 'Federico
  II'\, Italy. In 2002 he received the PhD from the Automatic Control Labor
 atory at ETH-Zurich\, Switzerland. He is currently a Professor at the Depa
 rtment of Mechanical Engineering of the University of California at Berkel
 ey\, USA. He is the author of more than two hundred publications in the fi
 eld of predictive control. He is author of the book Predictive Control pub
 lished by Cambridge University Press\, the winner of the 2009 NSF CAREER A
 ward and the winner of the 2012 IEEE Control System Technology Award. In 2
 016 he was elected IEEE fellow. In 2017 he was awarded the Industrial Achi
 evement Award by the International Federation of Automatic Control (IFAC) 
 Council. Since 2004 he has served as a consultant for major international 
 corporations. He was the founder and CTO of BrightBox Technologies Inc\, a
  company focused on cloud-computing optimization for autonomous systems. H
 e was the co-director of the Hyundai Center of Excellence in Integrated Ve
 hicle Safety Systems and Control at UC Berkeley.  He is the founder of Wi
 deSense Inc.\, a company focused on E-Mobility. His research interests are
  in the area of model predictive control and its application to automated 
 driving and energy systems.
LOCATION:MED 0 1418 https://plan.epfl.ch/?room==MED%200%201418 https://epf
 l.zoom.us/j/64230566011
STATUS:CONFIRMED
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