• DocumentCode
    3576167
  • Title

    Input-output data filtering based recursive least squares identification algorithm for Hammerstein OEAR models

  • Author

    Junsheng Zhao ; Xingjiang Yu ; Jianwei Xia

  • Author_Institution
    Sch. of Math., Liaocheng Univ., Liaocheng, China
  • fYear
    2014
  • Firstpage
    2253
  • Lastpage
    2258
  • Abstract
    For the Hammerstein OEAR model we proposed the input-output data filtering based recursive least squares algorithm (H-F-RLS). Numerical simulations show that the H-F-RLS algorithm is effective and can obtain accurate parameter estimates.
  • Keywords
    filtering theory; least squares approximations; parameter estimation; recursive filters; H-F-RLS algorithm; Hammerstein OEAR model; input-output data filtering; numerical simulation; parameter estimation; recursive least squares identification algorithm; Algorithm design and analysis; Computational modeling; Data models; Mathematical model; Noise; Polynomials; Signal processing algorithms; Hammerstein OEAR model; filtering based; recursive least squares;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mechatronics and Control (ICMC), 2014 International Conference on
  • Print_ISBN
    978-1-4799-2537-7
  • Type

    conf

  • DOI
    10.1109/ICMC.2014.7231970
  • Filename
    7231970
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3576167