• DocumentCode
    301660
  • Title

    Mixing fuzzy, neural and genetic algorithms in an integrated design environment for intelligent controllers

  • Author

    Chiaberge, M. ; Bene, G. Di ; Pascoli, S. Di ; Lazzerini, B. ; Maggiore, A. ; Reyneri, L.M.

  • Author_Institution
    Dipartimento di Elettronica, Politecnico di Torino, Italy
  • Volume
    4
  • fYear
    1995
  • fDate
    22-25 Oct 1995
  • Firstpage
    2988
  • Abstract
    In this paper the concept of hierarchical hybrid fuzzy controllers (HHFCs) is introduced. By means of HHFCs, the development of neuro-fuzzy controllers for complex plants can be simplified, just by dividing the controller into blocks, each of which solves a particular subset of control tasks
  • Keywords
    control system synthesis; feedforward neural nets; fuzzy control; fuzzy logic; fuzzy set theory; genetic algorithms; intelligent control; neurocontrollers; fuzzy logic; fuzzy set theory; genetic algorithms; hierarchical hybrid fuzzy controllers; intelligent control; neural networks; weighted radial basis functions; Algorithm design and analysis; Artificial neural networks; Control systems; Fuzzy control; Fuzzy logic; Fuzzy sets; Genetic algorithms; Humans; Neural network hardware; Neural networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man and Cybernetics, 1995. Intelligent Systems for the 21st Century., IEEE International Conference on
  • Conference_Location
    Vancouver, BC
  • Print_ISBN
    0-7803-2559-1
  • Type

    conf

  • DOI
    10.1109/ICSMC.1995.538239
  • Filename
    538239
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=301660