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SUMMARY:Simple and reliable implementation of optimization-based controlle
 rs
DTSTART:20140131T100000
DTSTAMP:20260407T051148Z
UID:ee0508b0c46371836b8998f1ed3ed382b1eeca00b423b056408b8760
CATEGORIES:Conferences - Seminars
DESCRIPTION:Prof. Michal Kvasnica\, STU\, Bratislava\nBio: Michal Kvasnica
  was born in 1977 in Slovakia. He obtained his MSc degree in process contr
 ol in 2000 from the Slovak University of Technology (STU) in Bratislava\, 
 Slovakia\, and a PhD in electrical engineering in 2008 from ETH Zurich. Cu
 rrently he is an associate professor at the Institute of Information Engin
 eering\, Automation\, and Mathematics at STU in Bratislava. His research i
 nterests include model predictive control\, modeling\, control and analysi
 s of hybrid systems\, and development of software tools for control. He co
 -develops the Multi-Parametric Toolbox and HYSDEL packages.\nParametric op
 timization allows to implement model predictive control (MPC) strategies o
 n a simple hardware\, yet provide guarantees of worst-case execution time.
  This talk reviews the potential and main bottlenecks of MPC controllers s
 ynthesized by parametric optimization. We show how such controllers are co
 nstructed\, analyzed and implemented. Specific attention will be devoted t
 o simplification of such controllers to achieve low memory footprint. We w
 ill review several methods that allow to target hardware platforms with se
 vere limitations on memory storage. Finally\, we discuss rigorous certific
 ation schemes which provide guarantees that the closed-loop system operate
 s correctly even when control commands are quantized.
LOCATION:ME C2 405 http://plan.epfl.ch/?zoom=20&recenter_y=5864084.17342&r
 ecenter_x=730960.62257&layerNodes=fonds\,batiments\,labels\,information\,p
 arkings_publics\,arrets_metro\,transports_publics&floor=2&q=ME_C2%20405
STATUS:CONFIRMED
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