• DocumentCode
    2936119
  • Title

    Control of nonlinear dynamical systems using genetic algorithms

  • Author

    Al-Duwaish, H.N. ; Bettayeb, M.

  • Author_Institution
    Dept. of Electr. Eng., King Fahd Univ. of Pet. & Miner., Dhahran, Saudi Arabia
  • fYear
    1997
  • fDate
    16-18 Jul 1997
  • Firstpage
    421
  • Lastpage
    424
  • Abstract
    This paper introduces a new method for the control of nonlinear systems using genetic algorithms. The proposed method formulates the nonlinear controller design as an optimization problem and genetic algorithms are used in the optimization process. Simulation examples are included to illustrate the performance and effectiveness of the proposed method
  • Keywords
    control system synthesis; genetic algorithms; nonlinear dynamical systems; genetic algorithms; nonlinear dynamical systems; optimization problem; Algorithm design and analysis; Autoregressive processes; Control systems; Design optimization; Dynamic programming; Genetic algorithms; Nonlinear control systems; Nonlinear dynamical systems; Nonlinear systems; Optimal control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control, 1997. Proceedings of the 1997 IEEE International Symposium on
  • Conference_Location
    Istanbul
  • ISSN
    2158-9860
  • Print_ISBN
    0-7803-4116-3
  • Type

    conf

  • DOI
    10.1109/ISIC.1997.626542
  • Filename
    626542
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2936119