• DocumentCode
    2101408
  • Title

    A self-tuning fuzzy filtered-U algorithm with the application of active noise control

  • Author

    Chang, Cheng-Yuan ; Shyu, Kuo-Kai

  • Author_Institution
    Dept. of Electron. Eng., Ching Yun Inst. of Technol., Chung-li, Taiwan
  • Volume
    1
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    474
  • Abstract
    The proposed fuzzy method guarantees an active noise control (ANC) system against unstable poles as in the conventional filtered-U design; the performance is hence improved. Besides, the fuzzy algorithm uses the input-output data relationships of the ANC system instead to construct the control rules. The design complexity is consequently reduced
  • Keywords
    active noise control; adaptive control; control system synthesis; fuzzy control; self-adjusting systems; ANC system; active noise control; control design; control performance; design complexity reduction; input-output data relationships; self-tuning fuzzy filtered-U algorithm; unstable poles; Active noise reduction; Control systems; Convergence; Electronic mail; Fuzzy control; Fuzzy sets; Fuzzy systems; Humans; IIR filters; Noise reduction;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics Society, 2001. IECON '01. The 27th Annual Conference of the IEEE
  • Conference_Location
    Denver, CO
  • Print_ISBN
    0-7803-7108-9
  • Type

    conf

  • DOI
    10.1109/IECON.2001.976528
  • Filename
    976528