• DocumentCode
    1922151
  • Title

    Design of Stable IIR Filter by Improved Genetic Algorithm

  • Author

    Pan, Shing-Tai ; Chen, Ching-Fa

  • Author_Institution
    Dept. of Comput. Sci. & Inf. Eng., Nat. Univ. of Kaohsiung, Kaohsiung, Taiwan
  • fYear
    2012
  • fDate
    26-28 Sept. 2012
  • Firstpage
    122
  • Lastpage
    126
  • Abstract
    This paper explores the design of robust stable digital filter by applying the Improved Genetic algorithm (IGA). We first derive a robust stability criterion which will be used to ensure the D(α,r)-stability of the digital filter in the evolution of IGA. The IGA was then applied a stable IIR filter based on the designed D(α,r)-stability criterion. Finally, we will compare the results of IIR filter designed by IGA with that designed by a traditional GA. It will be found that the performance of the IGA is better than that of a traditional GA in the design example of this paper.
  • Keywords
    IIR filters; genetic algorithms; IGA; IIR filter design; digital filter; improved genetic algorithm; robust stability criterion; Algorithm design and analysis; Biological cells; Digital filters; Frequency response; Genetic algorithms; IIR filters; Polynomials; D-stability; Genetic Algorithm; IIR filter; Improved Genetic Algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Innovations in Bio-Inspired Computing and Applications (IBICA), 2012 Third International Conference on
  • Conference_Location
    Kaohsiung
  • Print_ISBN
    978-1-4673-2838-8
  • Type

    conf

  • DOI
    10.1109/IBICA.2012.25
  • Filename
    6337649