• DocumentCode
    3626448
  • Title

    Genetic Algorithms Applied in Fuzzy-Sliding Mode Control of Nonlinear Systems

  • Author

    Dragan Antic;Marko Milojkovic;Zoran Jovanovic

  • Author_Institution
    Faculty of Electronic Engineering, University of Nis, Aleksandra Medvedeva 14, 18000 Nis, Serbia, E-mail: dantic@elfak.ni.ac.yu
  • fYear
    2007
  • Firstpage
    490
  • Lastpage
    493
  • Abstract
    This paper considers a new method for nonlinear systems control based on genetic algorithms applied on fuzzy- sliding mode. This new control method achieves good results in terms of robustness, dynamics of control, and controlled signals. It also solves the chattering problem. Illustration and verification of this new method is done by simulation of inverted pendulum system.
  • Keywords
    "Genetic algorithms","Nonlinear control systems","Control systems","Nonlinear systems","Sliding mode control","Robust control","Fuzzy logic","State-space methods","Optimal control","Variable structure systems"
  • Publisher
    ieee
  • Conference_Titel
    Telecommunications in Modern Satellite, Cable and Broadcasting Services, 2007. TELSIKS 2007. 8th International Conference on
  • Print_ISBN
    978-1-4244-1467-3
  • Type

    conf

  • DOI
    10.1109/TELSKS.2007.4376050
  • Filename
    4376050
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3626448