• DocumentCode
    2027607
  • Title

    A genetic algorithm based fuzzy logic controller for nonlinear systems

  • Author

    Mahmood, Asher ; Meashio, Yohannes ; Singer, George

  • Author_Institution
    Sch. of Eng., Humberside Univ., Hull, UK
  • fYear
    1997
  • fDate
    2-4 Sep 1997
  • Firstpage
    30
  • Lastpage
    36
  • Abstract
    There have been many attempts to design intelligent tracking controllers for nonlinear control applications, such as dynamic fatigue test rigs, industrial robots and flight simulators. An evolutionary, genetic algorithm based tuneable fuzzy logic controller has been designed for such dynamic servomechanisms. Results obtained prove the scheme successful and it yields a robust controller, as well as reduces design complexity
  • Keywords
    fuzzy control; angular position control; dynamic servomechanisms; fuzzy logic controller; genetic algorithm; intelligent control; nonlinear control systems; pendulum; tracking;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Genetic Algorithms in Engineering Systems: Innovations and Applications, 1997. GALESIA 97. Second International Conference On (Conf. Publ. No. 446)
  • Conference_Location
    Glasgow
  • ISSN
    0537-9989
  • Print_ISBN
    0-85296-693-8
  • Type

    conf

  • DOI
    10.1049/cp:19971151
  • Filename
    680933
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2027607