• DocumentCode
    620006
  • Title

    Identification of fractional-order system based on modified differential evolution

  • Author

    Lilian Huang ; Xiaoliang Zhou

  • Author_Institution
    Coll. of Inf. & Commun. Eng., Harbin Eng. Univ., Harbin, China
  • fYear
    2013
  • fDate
    25-27 May 2013
  • Firstpage
    1856
  • Lastpage
    1861
  • Abstract
    Fractional order system can accurately describe systems by introducing additional degrees of freedom, but at the same time it increases the difficulty to identify the systems. In this paper, a modified differential evolution(MDE) is proposed, according to the response data of time domain, the rational fitness function is designed to identify the fractional order SISO(Single Input Single Output) system. The proposed method could identify both the parameters and the orders of the model, and is adaptive to the unknown system models. The simulation results show the accuracy and efficiency of this method.
  • Keywords
    evolutionary computation; parameter estimation; time-domain analysis; MDE; fractional order SISO identification; fractional order single input single output system; modified differential evolution; parameter identification; rational fitness function; time domain response data; Convergence; Data models; Mathematical model; Sociology; Statistics; Time-domain analysis; Vectors; Fitness Function; Fractional-order System; Modified Differential Evolution; SISO(Single Input Single Output); Time Domain Identification;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference (CCDC), 2013 25th Chinese
  • Conference_Location
    Guiyang
  • Print_ISBN
    978-1-4673-5533-9
  • Type

    conf

  • DOI
    10.1109/CCDC.2013.6561235
  • Filename
    6561235