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SUMMARY:Model predictive control for max-plus and continuous piecewise-aff
 ine systems
DTSTART:20171103T101500
DTEND:20171103T110000
DTSTAMP:20260407T175800Z
UID:8702a89b338f6c84742e06dc78cb671c548a2714c0bd9b5d91aea2cf
CATEGORIES:Conferences - Seminars
DESCRIPTION:Bart De Schutter\, Delft Center for Systems and Control \nIn 
 this presentation\, we give an overview of the work done at the Delft Cent
 er for Systems and Control in the field of model-based predictive control 
 for max-plus linear systems and piecewise-affine systems.  Max-plus linea
 r systems are a class of discrete-event systems the behavior of which can 
 be described by state update equations that are linear in the (max\,+) alg
 ebra. We focus on model predictive control (MPC) for such systems\, where 
 a given performance criterion is optimized over a given prediction horizon
  to determine the optimal control inputs. We show that - depending on the 
 type of performance criterion and constraints - this can result in a linea
 r programming or a mixed linear programming problem. In addition\, we also
  present a general optimization approach for max-plus MPC based on optimis
 tic optimization. Finally\, we discuss the extension of our results to max
 -min-plus-scaling systems\, which are equivalent to continuous piecewise-a
 ffine systems.\n\nBio: Bart De Schutter received the Ph.D. degree in Appl
 ied Sciences in 1996\, at K.U.Leuven\, Belgium. After obtaining his Ph.D. 
 degree\, he was a postdoctoral researcher at the SISTA-ESAT group of K.U.L
 euven\, Belgium. In 1998 he moved to the Control Lab of Delft University o
 f Technology as an assistant professor. In 2000 he became associate profes
 sor. Currently\, he is a full professor at the Delft Center for Systems an
 d Control of Delft University of Technology in Delft\, The Netherlands.\n\
 nBart De Schutter is associate editor of IEEE Transactions on Automatic Co
 ntrol and senior editor of the IEEE Transactions on Intelligent Transporta
 tion Systems.  His current research interests include control of discrete
 -event and hybrid systems\, multi-agent systems\, control of large-scale t
 ransportation networks with applications in freeway and urban traffic cont
 rol\, intelligent vehicle systems\, smart grids\, and water networks.
LOCATION:ME C2 405 https://plan.epfl.ch/?room=MEC2405
STATUS:CONFIRMED
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