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SUMMARY:Economic Model Predictive Control: from time-invariant to time-var
 ying set-ups
DTSTART:20170310T101500
DTEND:20170310T111500
DTSTAMP:20260407T105758Z
UID:a96dab08842c07f27dabbee9478b8015b2f868edf95a0c9b3df7cab9
CATEGORIES:Conferences - Seminars
DESCRIPTION:David Angeli\, Imperial College London\nEconomic Model Predict
 ive Control (EMPC) is a variant of standard MPC that allows taking directl
 y into account the economics of the system in the design of a controller. 
 In this respect it departs from classical MPC where optimization is used t
 o minimize some kind of distance of the system’s state towards a desired
  set-point or reference signal. We will review some of the main ideas behi
 nd the approach and results which were obtained concerning recursive feasi
 bility\, performance and stability. We will then move on to see how the ap
 proach can be extended to cope with time-varying set-ups.\n \nBio: David 
 Angeli was born in Siena\, Italy\, in 1971. He received the B.S. degree in
  Computer Science Engineering and the Ph.D. in Control Theory from Univers
 ity of Florence\, Florence\, Italy\, in 1996 and 2000\, respectively. Sinc
 e 2000 he was an Assistant and Associate Professor (2005) with the Departm
 ent of Systems and Computer Science\, University of Florence. He was a vis
 iting Professor with I.N.R.I.A de Rocquencourt\, Paris\, France\, in 2007.
 \n\nIn 2008 he joined the Department of Electrical and Electronic Engineer
 ing of Imperial College London as a Senior Lecturer. He is currently a Rea
 der in Nonlinear Control and the Director of the MSc in Control Systems. H
 e has been a Fellow of the IEEE since 2015. He has authored more than 80 j
 ournal papers in the areas of stability of nonlinear systems\, dynamical s
 ystems\, control of constrained systems\, and chemical reaction networks.
LOCATION:ME C2 405 http://plan.epfl.ch/?request_locale=fr&room=MEC2405&dom
 ain=places
STATUS:CONFIRMED
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