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SUMMARY:A comparison between model-based and data-driven control system de
 sign
DTSTART:20130412T101500
DTEND:20130412T110000
DTSTAMP:20260406T235908Z
UID:ba85d08f641ac9b746ca5fe381d2461087a4c8e422748b444e1fe0d5
CATEGORIES:Conferences - Seminars
DESCRIPTION:Simone Formentin \nPost-doctoral fellow at Università degli 
 studi di Bergamo\nFor many industrial applications\, finding a model from 
 physical laws that is both simple and reliable for control design is a tou
 gh undertaking. When a set of measurements is available\, the control law 
 can be computed from data without relying on knowledge of the underlying p
 hysics. Specifically\, in "model-based" approaches\, a model of the system
  is first derived from data and then a controller is computed based on suc
 h a model. In "data-driven" approaches\, the controller is directly derive
 d from experimental data. It is common belief that finding a good model of
  the plant is always the best way towards controller design\, therefore mo
 del-based approaches usually prevail.\nThe goal of this talk is to show th
 at data-driven solutions might sometimes be preferable\, thus motivating r
 esearch in these design methods\, which are less time-consuming and insens
 itive to modeling errors. Some recent improvements of the weak points of s
 uch techniques are also discussed to lay the foundations for future resear
 ch.
LOCATION:ME C2 405
STATUS:CONFIRMED
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