• DocumentCode
    3158848
  • Title

    An evolutionary approach to identification problems with incomplete output data

  • Author

    Imae, J. ; Morita, Yasuhiko ; Zhai, Guisheng ; Kobayashi, Tomoaki

  • Author_Institution
    Dept. of Mech. Eng., Osaka Prefecture Univ., Sakai
  • fYear
    2008
  • fDate
    20-22 Aug. 2008
  • Firstpage
    2262
  • Lastpage
    2265
  • Abstract
    In this paper, we consider nonlinear system identification problems in the case where output data is incomplete. We propose an identification method based on an evolutionary algorithm, which is a fusion of a genetic algorithm (GA) and genetic programming (GP), and illustrate the effectiveness of the proposed method through a simulation and an experiment with a cart.
  • Keywords
    genetic algorithms; identification; nonlinear control systems; evolutionary algorithm; genetic algorithm; genetic programming; nonlinear system identification problems; Computational modeling; Evolutionary computation; Genetic algorithms; Genetic mutations; Genetic programming; Mathematical model; Mechanical engineering; Nonlinear systems; System identification; Tree data structures; Evolutionary Computation; Genetic Algorithm; Genetic Programming; Incomplete Output Data; Nonlinear System Identification;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    SICE Annual Conference, 2008
  • Conference_Location
    Tokyo
  • Print_ISBN
    978-4-907764-30-2
  • Electronic_ISBN
    978-4-907764-29-6
  • Type

    conf

  • DOI
    10.1109/SICE.2008.4655041
  • Filename
    4655041
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3158848