Chung-Hua University Repository:Item 987654321/34089
English  |  正體中文  |  简体中文  |  Items with full text/Total items : 8557/14866 (58%)
Visitors : 1403543      Online Users : 2465
RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version


    Please use this identifier to cite or link to this item: http://chur.chu.edu.tw/handle/987654321/34089


    Title: Design of a growing-and-pruning adaptive RBF neural control system
    Authors: 許駿飛
    Hsu, Chun-Fei
    Contributors: 電機工程學系
    Electrical Engineering
    Keywords: RBF network;adaptive control;neural control;structuring learning;parameter learning
    Date: 2009
    Issue Date: 2014-06-27 02:39:04 (UTC+8)
    Abstract: This study proposes a growing-and-pruning adaptive RBF neural control (GP-ARBFNC) system for a class of uncertain nonlinear systems. The proposed GP-ARBFNC system is composed of a neural controller and a saturation compensator. The neural controller uses
    Appears in Collections:[Department of Electrical Engineering] Seminar Papers

    Files in This Item:

    File Description SizeFormat
    s_E320_0235.pdf28KbAdobe PDF35View/Open


    All items in CHUR are protected by copyright, with all rights reserved.


    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback