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On the Dead-Zone in System Identification
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, The Institute of Technology.
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, The Institute of Technology.
1991 (English)In: Proceedings of the 9th IFAC Symposium on System Identification and System Parameter Estimation, 1991, 1410-1414 p.Conference paper, Published paper (Refereed)
Abstract [en]

A prediction error method for parameter estimation in a dynamical system is studied.

The following problems are treated in this paper:

  • When is the DZ estimate inconsistent, and what is the set of parameters which minimizes the criterion in the case of inconsistency?
  • What happens to the variance of the estimate as the DZ is introduced?
  • Does the deadzone give a better estimate than LS when there are unmodelled deterministic disturbances present?
  • What are the relations between identification with a deadzone criterion and so called set membership identification?
Place, publisher, year, edition, pages
1991. 1410-1414 p.
Keyword [en]
System identification, Deadzone, Robust adaptive control, Set membership identification
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:liu:diva-91656OAI: oai:DiVA.org:liu-91656DiVA: diva2:625202
Conference
9th IFAC Symposium on System Identification and System Parameter Estimation, Budapest, Hungary, July, 1991
Available from: 2013-06-04 Created: 2013-04-28 Last updated: 2013-07-01

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Ljung, Lennart

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