A Radial-Basis-Function-Network-Based Controller With Application To Controlling A Flexible Micro-Actuator

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Methods of designing a radial-basis-function-network-based (RBFN) controller and implementing it for controlling a piezopolymer bimorph flexible micro-actuator are presented. By focusing on the sigmoid function, which is generally used as the neuron activation function of neural networks and whose derivative shape is similar to that of a Gaussian function, we derive an RBFN controller by applying a differential operator to an NN controller. Applications in which a flexible micro-actuator is controlled by the RBFN controller are also described. Simulations show that the proposed controller is effective at controlling a flexible micro-actuator.

収録刊行物

  • 電気学会論文誌. E, センサ・マイクロマシン準部門誌 = The transactions of the Institute of Electrical Engineers of Japan. A publication of Sensors and Micromachines Society  

    電気学会論文誌. E, センサ・マイクロマシン準部門誌 = The transactions of the Institute of Electrical Engineers of Japan. A publication of Sensors and Micromachines Society 118(1), 14-21, 1998-01 

    The Institute of Electrical Engineers of Japan

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各種コード

  • NII論文ID(NAID)
    10004832901
  • NII書誌ID(NCID)
    AN1052634X
  • 本文言語コード
    ENG
  • 資料種別
    ART
  • ISSN
    13418939
  • NDL 記事登録ID
    4366749
  • 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-B380
  • データ提供元
    CJP書誌  NDL  J-STAGE 
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