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  • Bottegal, G., et al. (author)
  • On maximum likelihood identification of errors-in-variables models
  • 2017
  • In: IFAC-PapersOnLine. - : Elsevier. - 2405-8963. ; 50:1, s. 2824-2829
  • Journal article (peer-reviewed)abstract
    • In this paper, we revisit maximum likelihood methods for identification of errors-in-variables systems. We assume that the system admits a parametric description, and that the input is a stochastic ARMA process. The cost function associated with the maximum likelihood criterion is minimized by introducing a new iterative solution scheme based on the expectation-maximization method, which proves fast and easily implementable. Numerical simulations show the effectiveness of the proposed method.
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Type of publication
journal article (1)
Type of content
peer-reviewed (1)
Author/Editor
Zamani, M (1)
Hjalmarsson, Håkan (1)
Bottegal, G. (1)
Risuleo, Riccardo Sv ... (1)
Ninness, B. (1)
University
Royal Institute of Technology (1)
Language
English (1)
Research subject (UKÄ/SCB)
Engineering and Technology (1)
Year

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