• DocumentCode
    409461
  • Title

    Variable parameter gradient estimation algorithm with local polynomial approximation

  • Author

    Xue, Yuncan ; Huang, Jiao ; Yang, Qiwen

  • Author_Institution
    Coll. of Comput. & Information Eng., Hohai Univ., Jiangsu, China
  • Volume
    1
  • fYear
    2003
  • fDate
    10-12 Dec. 2003
  • Firstpage
    277
  • Abstract
    The trackability limitation of current gradient algorithm is discussed. A new algorithm, named variable parameter gradient estimation algorithm with local polynomial approximation is proposed. The concept of the error level is proposed. Selection criteria of the error level are given according to the min-max principle. Selection criteria of the order of the local polynomial are also given. This algorithm has good trackability and is particularly suitable for tracking time-varying systems. It is not more sensitive to the noise than the ordinary gradient estimation algorithms. The superior performance of proposed algorithm is verified via simulation studies.
  • Keywords
    gradient methods; parameter estimation; polynomial approximation; time-varying systems; local polynomial approximation; minmax principle; time-varying systems; variable parameter gradient estimation algorithm; Approximation algorithms; Computer errors; Educational institutions; Least squares approximation; Parameter estimation; Polynomials; Recursive estimation; Resonance light scattering; Steady-state; Time varying systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Technology, 2003 IEEE International Conference on
  • Print_ISBN
    0-7803-7852-0
  • Type

    conf

  • DOI
    10.1109/ICIT.2003.1290298
  • Filename
    1290298