• DocumentCode
    3532757
  • Title

    Local variable selection and dimension determination of nonlinear non-parametric systems

  • Author

    Er-Wei Bai ; Kang Li ; Wenxiao Zhao ; Weiyu Xu

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Iowa, Iowa City, IA, USA
  • fYear
    2013
  • fDate
    10-13 Dec. 2013
  • Firstpage
    4296
  • Lastpage
    4301
  • Abstract
    In this paper, we consider the variable selection problem for a nonlinear non-parametric system. The approach proposed selects a variable by detecting if the corresponding partial derivative is zero or not at the point of interest. The algorithm is shown to have not only the parameter but also the set convergence. This is critical because the variable selection problem is binary, a variable is either selected or not selected. The approach allows the unknown non-parametric nonlinear system to have different local dimensions at different points of interest.
  • Keywords
    convergence; nonlinear systems; dimension determination; local variable selection problem; partial derivative; set convergence; unknown nonparametric nonlinear system; Bandwidth; Convergence; Educational institutions; Input variables; Kernel; Nonlinear systems; Optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control (CDC), 2013 IEEE 52nd Annual Conference on
  • Conference_Location
    Firenze
  • ISSN
    0743-1546
  • Print_ISBN
    978-1-4673-5714-2
  • Type

    conf

  • DOI
    10.1109/CDC.2013.6760550
  • Filename
    6760550