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SUMMARY:Data informativity: a new perspective on data-driven analysis and 
 control - Professor Kanat Camlibel\, Bernoulli Institute\, University of G
 roningen
DTSTART:20240112T140000Z
DTEND:20240112T150000Z
UID:TALK210010@talks.cam.ac.uk
CONTACT:Kimberly Cole
DESCRIPTION:The use of persistently exciting data has recently been popula
 rized in the context of data-driven analysis and control. Such data have b
 een used to assess system-theoretic properties and to construct control la
 ws\, without using a system model. Persistency of excitation is a strong c
 ondition that also allows unique identification of the underlying dynamica
 l system from the data. \n \nIn the first part of the talk\, I will introd
 uce the data informativity framework in order to work with data that are n
 ot necessarily persistently exciting. Within this framework\, I will prese
 nt necessary and sufficient conditions on the informativity of data for se
 veral data-driven analysis and control problems. When such informativity c
 onditions hold\, it is possible to construct controllers from the given da
 ta that do not necessarily determine the underlying system uniquely.\n \nT
 he second part of the talk will briefly address the important issue of onl
 ine experiment design within the data informativity framework. Finally\, t
 he last but more extensive segment of the talk will present an online expe
 riment design for system identification in the minimum possible steps. \n\
 nBoth seminars are hosted by Malcolm Smith\n\nWe strongly encourage you to
  attend the seminars in person. You can also connect via Zoom:\n\nhttps://
 newnham.zoom.us/j/92544958528?pwd=YS9PcGRnbXBOcStBdStNb3E0SHN1UT09\nMeetin
 g ID: 925 4495 8528 Passcode: 203369\n
LOCATION:JDB Seminar room
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