• DocumentCode
    3582519
  • Title

    Identification using fractional-order model: An application overview

  • Author

    Ishak, Norlela ; Yusof, Nuzaihan Mhd ; Rahiman, Mohd Hezri Fazalul ; Adnan, Ramli ; Tajudin, Mazidah

  • Author_Institution
    Fak. Kejuruteraan Elektr., Univ. Teknol. MARA, Shah Alam, Malaysia
  • fYear
    2014
  • Firstpage
    668
  • Lastpage
    673
  • Abstract
    Fractional-order model offers more flexible identification since real systems and dynamical processes are in fractional-order behavior. For that reason, using fractional-order models will give a better description of a given system. The identification using fractional-order model and its application is discussed based on previous researches. Finally, Matlab toolboxes that offer fractional order modeling and control are briefly introduced.
  • Keywords
    identification; Matlab toolboxes; dynamical processes; flexible identification; fractional order control; fractional-order behavior; fractional-order model; Biological system modeling; Calculus; Inductors; MATLAB; Mathematical model; Fractional-order modeling; fractional-order toolbox; system identification;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control System, Computing and Engineering (ICCSCE), 2014 IEEE International Conference on
  • Print_ISBN
    978-1-4799-5685-2
  • Type

    conf

  • DOI
    10.1109/ICCSCE.2014.7072802
  • Filename
    7072802
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3582519