• DocumentCode
    1965167
  • Title

    Non-asymptotic fractional order differentiators via an algebraic parametric method

  • Author

    Da-Yan Liu ; Gibaru, Olivier ; Perruquetti, W.

  • Author_Institution
    Math. & Comput. Sci. & Eng. Div., King Abdullah Univ. of Sci. & Technol. (KAUST), Thuwal, Saudi Arabia
  • fYear
    2012
  • fDate
    29-31 Aug. 2012
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Recently, Mboup, Join and Fliess [27], [28] introduced non-asymptotic integer order differentiators by using an algebraic parametric estimation method [7], [8]. In this paper, in order to obtain non-asymptotic fractional order differentiators we apply this algebraic parametric method to truncated expansions of fractional Taylor series based on the Jumarie´s modified Riemann-Liouville derivative [14]. Exact and simple formulae for these differentiators are given where a sliding integration window of a noisy signal involving Jacobi polynomials is used without complex mathematical deduction. The efficiency and the stability with respect to corrupting noises of the proposed fractional order differentiators are shown in numerical simulations.
  • Keywords
    algebra; parameter estimation; signal processing; Jacobi polynomials; algebraic parametric estimation method; fractional Taylor series; modified Riemann-Liouville derivative; noisy signal; nonasymptotic fractional order differentiators; nonasymptotic integer order differentiators; numerical simulations; sliding integration window;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems and Computer Science (ICSCS), 2012 1st International Conference on
  • Conference_Location
    Lille
  • Print_ISBN
    978-1-4673-0673-7
  • Electronic_ISBN
    978-1-4673-0672-0
  • Type

    conf

  • DOI
    10.1109/IConSCS.2012.6502445
  • Filename
    6502445