ニューラルネットを用いた適応レギュレータの構成法 Adaptive Regulator Using Neural Network

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This paper proposes an adaptive regulator using a neural network. For a class of systems with linear and nonlinear modeling errors, the conventional optimal regulator is designed based on a known linear part of the controlled system, and the modeling errors included in the controlled system are identified using the neural network. At the same time, the neural network adaptively compensates a control input computed by the predesigned optimal regulator. The proposed regulator is applied to systems with linear and nonlinear modeling errors and simulation experiments are carried out. Results of the computer simulations show the effectiveness of the proposed method.

収録刊行物

  • 電気学会論文誌. D, 産業応用部門誌 = The transactions of the Institute of Electrical Engineers of Japan. D, A publication of Industry Applications Society

    電気学会論文誌. D, 産業応用部門誌 = The transactions of the Institute of Electrical Engineers of Japan. D, A publication of Industry Applications Society 119(6), 809-815, 1999-06

    The Institute of Electrical Engineers of Japan

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各種コード

  • NII論文ID(NAID)
    10002818505
  • NII書誌ID(NCID)
    AN10012320
  • 本文言語コード
    JPN
  • 資料種別
    ART
  • ISSN
    09136339
  • NDL 記事登録ID
    4739212
  • NDL 雑誌分類
    ZN31(科学技術--電気工学・電気機械工業)
  • NDL 請求記号
    Z16-1608
  • データ提供元
    CJP書誌  NDL  J-STAGE 
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