• DocumentCode
    3582947
  • Title

    Reduced order modeling in time-frequency H∞-norm mix-criterion: genetic algorithms approach

  • Author

    Wu, Tao ; Yu, Junqi ; Huang, Yongxuan ; Hu, Bosheng

  • Author_Institution
    Syst. Eng. Inst., Xi´´an Jiaotong Univ., China
  • Volume
    1
  • fYear
    2000
  • fDate
    6/22/1905 12:00:00 AM
  • Firstpage
    593
  • Abstract
    The reduced order modeling in time-frequency least squares mix-criterion is proposed, and the method based on genetic algorithms is obtained to resolve it. This new method avoids the shortfall of the traditional methods, and the characteristics of the reduced order model obtained are ideal. An example shows that this method is better than other available methods
  • Keywords
    H∞ control; genetic algorithms; least squares approximations; reduced order systems; time-frequency analysis; H∞-norm; SISO systems; genetic algorithms; least squares; reduced order modeling; time-frequency; Control theory; Fractals; Genetic algorithms; Genetic engineering; Least squares approximation; Least squares methods; Reduced order systems; Systems engineering and theory; Time frequency analysis; Transfer functions;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation, 2000. Proceedings of the 3rd World Congress on
  • Print_ISBN
    0-7803-5995-X
  • Type

    conf

  • DOI
    10.1109/WCICA.2000.860040
  • Filename
    860040
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3582947