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UID:632@cran.univ-lorraine.fr
DTSTART;TZID=Europe/Paris:20250228T103000
DTEND;TZID=Europe/Paris:20250228T113000
DTSTAMP:20250129T101203Z
URL:https://www.cran.univ-lorraine.fr/events/seminaires-de-leonid-mirkin/
SUMMARY:Séminaires de Leonid Mirkin
DESCRIPTION:Titre : $H_\\infty$ event triggering with performance guarantee
 s: what can we prove and what cannot (yet)\n\n- Résumé : Time-triggered 
 (TT) sampled-data control assumes that sampling instances are generated i
 n a process-independent fashion\, normally via an external clock. Event-t
 riggered (ET) control\, in which sampling instances may be generated on th
 e basis of the actual evolution of control and controlled variables\, has
  a potential to outperform TT controllers\, namely to guarantee the same p
 erformance under slower sampling. This property\, first proved in the semi
 nal 1999 paper by Åström and Bernhardsson\, is extensively exploited in
  the context of stochastic\, LQG-like\, optimal control. However\, most re
 sults studying ET control in the $H_\\infty$\, i.e. worst-case determinist
 ic\, context lack performance guarantees. On contrary\, many $H_\\infty$ E
 T results are inferior to the optimal TT solutions.\n\nIn this talk I'll p
 resent an approach to ET $H_\\infty$ control\, which guarantees that each 
 sampling interval does not exceed the sampling period $h$ of the optimal T
 T solution (periodic sampling for this problem) under the same performance
  level. Moreover\, the class of disturbances\, dubbed \\emph{spoilers}\,
  for which the proposed ET mechanism cannot guarantee sampling intervals 
 strictly larger than $h$ is limited to a finite-dimensional subspace of $
 L_2[0\,h]$\, so is not quite plausible. Still\, because one step of the so
 lution is based on only a sufficient condition\, it is not clear whether o
 r not there is a different ET law that can guarantee the same for all dist
 urbances. I'll discuss perspectives of answering this question and technic
 al difficulties associated with that.\n\nLien Teams : cliquer ici.
CATEGORIES:Département CID,Séminaire projet MODELE
LOCATION:CRAN - ENSEM\, 2\, Avenue de la Foret de Haye\, Voandoeuvre-les-Na
 ncy\, 54516\, France
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=2\, Avenue de la Foret de H
 aye\, Voandoeuvre-les-Nancy\, 54516\, France;X-APPLE-RADIUS=100;X-TITLE=CR
 AN - ENSEM:geo:0,0
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