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SUMMARY:Errors-in-Variables Methods in System Identification 
DTSTART:20090508T101500
DTSTAMP:20260406T030151Z
UID:52885c38fc742194871206f1716f6c5526ff4e0fae32443a354b2977
CATEGORIES:Conferences - Seminars
DESCRIPTION:Prof. T. Söderström  - Dept. of Systems and Control\, Uppsal
 a University (Uppsala\, Sweden).  \nThe lecture gives a tutorial survey of
  errors-in-variables methods in system identification\, \nwhere both input
  and output measurements are noise-corrupted. Background and motivation \n
 are given\, and examples illustrate why such an identification problem can
  be difficult. Under \ngeneral weak assumptions\, the systems are not iden
 tifiable\, but can be parameterized using \none degree of freedom. Example
 s where identifiability is achieved under additional \nassumptions are als
 o provided. A number of typical approaches for parameter estimation of \ne
 rrors-in-variables models are presented.The underlying assumptions and pri
 nciples as well \nas key properties for each approach are highlighted.
LOCATION:MEC2405 
STATUS:CONFIRMED
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