• DocumentCode
    1561592
  • Title

    Reduced-dimension multilayer FLC based on rough set theory

  • Author

    Wang, Fang ; Xie, Gang ; Xie, Keming

  • Author_Institution
    Coll. of Inf. Eng., Taiyuan Univ. of Technol., China
  • Volume
    3
  • fYear
    2004
  • Firstpage
    2686
  • Abstract
    In this paper a new RST-based algorithm is introduced which extracts knowledge from field data and establishes fuzzy rules of reduced-dimension multilayer fuzzy controller. It is advantageous for understanding, checking rules and artificial correction to keep every level´s fuzzy inference rules in three-dimension sizes. The rough-fuzzy controller is combined with conventional PID, building up the hybrid intelligent controller. The simulation of load control system shows that the hybrid controller processes higher control qualities with high speed, small overshoot and strong robustness.
  • Keywords
    fuzzy control; fuzzy set theory; inference mechanisms; intelligent control; knowledge acquisition; power system control; power system simulation; rough set theory; three-term control; PID control; fuzzy inference rules; hybrid intelligent controller; knowledge extraction; load control system simulation; multilayer fuzzy logic controller; reduced dimension controller; rough fuzzy controller; rough set theory; Artificial intelligence; Data mining; Fuzzy control; Inference algorithms; Intelligent structures; Load flow control; Nonhomogeneous media; Process control; Set theory; Three-term control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation, 2004. WCICA 2004. Fifth World Congress on
  • Print_ISBN
    0-7803-8273-0
  • Type

    conf

  • DOI
    10.1109/WCICA.2004.1342085
  • Filename
    1342085