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VERSION:2.0
PRODID:-//Memento EPFL//
BEGIN:VEVENT
SUMMARY:Population Control
DTSTART:20150424T101500
DTSTAMP:20260407T162251Z
UID:3bfc0182e9c858c9f37481d781352b9a8b98e9267f13eeedcb85d3cf
CATEGORIES:Conferences - Seminars
DESCRIPTION:John Lygeros\nAbstract: Many large scale systems involve the i
 nteraction of a number of agents with loosely coupled dynamics and decisio
 ns. Examples include transportation systems\, consumer demand response in 
 electricity grids\, emergency evacuation of buildings\, and even education
 . In all these cases agents locally optimize their decisions\, but their e
 ventual well being depends on the decisions of all other agents. For such 
 systems it is typically impractical to impose a centralized control struct
 ure for a number of reasons\, including computational and communication li
 mitations and privacy concerns. Instead one can consider providing suitabl
 e information to the agents and imposing an appropriate penalty/reward sch
 eme to steer the overall population using macroscopic commands\, so that i
 t exhibits a desirable macroscopic behaviour. In this talk we will discuss
  how such control structures can be developed by adopting a mean field con
 trol perspective\, based on convergence results in operator theory. The di
 scussion will be motivated by applications of population control to consum
 er electricity demand response schemes.\nBio: John Lygeros completed a B.E
 ng. degree in electrical engineering in 1990 and an M.Sc. degree in System
 s Control in 1991\, both at Imperial College of Science Technology and Med
 icine\, London\, U.K.. In 1996 he obtained a Ph.D. degree from the Electri
 cal Engineering and Computer Sciences Department\, University of Californi
 a\, Berkeley. During the period 1996-2000 he held a series of research app
 ointments at the National Automated Highway Systems Consortium\, Berkeley\
 , the Laboratory for Computer Science\, M.I.T.\, and the Electrical Engine
 ering and Computer Sciences Department at U.C. Berkeley. Between 2000 and 
 2003 he was a University Lecturer at the Department of Engineering\, Unive
 rsity of Cambridge\, U.K.\, and a Fellow of Churchill College. Between 200
 3 and 2006 he was an Assistant Professor at the Department of Electrical a
 nd Computer Engineering\, University of Patras\, Greece. In July 2006 he j
 oined the Automatic Control Laboratory at ETH Zurich\, first as an Associa
 te Professor\, and since January 2010 as a Full Professor\; he is currentl
 y serving as the Head of the laboratory. His research interests include mo
 delling\, analysis\, and control of hierarchical\, hybrid\, and stochastic
  systems\, with applications to biochemical networks\, automated highway s
 ystems\, air traffic management\, power grids and camera networks. John Ly
 geros is a Fellow of the IEEE\, and a member of the IET and the Technical 
 Chamber of Greece.
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STATUS:CONFIRMED
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