淡江大學機構典藏:Item 987654321/95996
English  |  正體中文  |  简体中文  |  Items with full text/Total items : 62805/95882 (66%)
Visitors : 3903298      Online Users : 460
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library & TKU 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
    Home ‧ Login ‧ Upload ‧ Help ‧ About ‧ Administer Goto mobile version


    Please use this identifier to cite or link to this item: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/95996


    Title: 在非線性系統中以模糊為基礎及輸出回授為主的H/sup∞/適應控制設計及應用之子計劃二:適應模糊控制研究(3/3)
    Other Titles: Adaptive Fuzzy Control Design
    Authors: 翁慶昌
    Contributors: 淡江大學電機工程學系
    Keywords: 模糊控制;適應性控制;Lyapunov定理;強健性;Fuzzy Control;Adaptive Control;Lyapanov Theorem;Robustness
    Date: 1998-11
    Issue Date: 2014-02-13 11:32:39 (UTC+8)
    Abstract: 本次研究計畫分別提出直接與非直接兩種型式的規則調整適應模糊控制系統。簡單的說, 直接型適應模糊控制系統之設計方法是直接從單一的模糊控制器產生控制命令至受控體, 而非直接型適應模糊控制系統之設計方式是先由多個模糊系統對受控體做建模的工作, 然後再依受控體的動態特性產生控制命令而回授至受控體。不論是何種型式的適應模糊控制系統, 其在模糊系統中皆有一能做線上修正之適應定理, 此方式不僅能克服無法做線上尋找最佳參數的缺點, 而且就算受控體有著非常大的不確性, 例如參數的突然改變或外在的干擾等, 也不會受到影響, 因此將使得模糊系統變得更具實用性和強健性。
    In this project, we propose direct adaptive fuzzy control system and indirect adaptive fuzzy control system using adjusting the rule base to improve the disadvantages of traditional fuzzy system. Simply speaking, the designed method of direct adaptive fuzzy control system generates a control command from the single fuzzy controller, then feed it back the plant. The designed method of indirect adaptive fuzzy control system is modeling the plant from a number of fuzzy systems at first, then it generates a control command by the dynamic character which will feed it back the plant. Whatever which types of adaptive fuzzy controller, they have the adaptive law of rule regulation on line, respectively. The adaptive law not only can overcome the defect of those approaches which are unable to find the optimal parameters on line, but also the results of the controlled system will not be influenced, even the plant has many uncertainties, such as the suddenly change of parameters or the external disturbance. Therefore, the fuzzy system becomes more practical and robust.
    Relation: 國科會控制學門八十七年度專題研究計畫成果發表會論文集=Procedding of 1998 NSC Report in Control Studies，頁4-12-4-15
    Appears in Collections:[Graduate Institute & Department of Electrical Engineering] Proceeding

    Files in This Item:

    File Description SizeFormat
    在非線性系統中以模糊為基礎及輸出回授為主的H ／sup∞／適應控制設計及應用之子計劃二：適應模糊控制研究(3／3)_中文摘要.docx摘要15KbMicrosoft Word179View/Open
    在非線性系統中以模糊為基礎及輸出回授為主的H ／sup∞／適應控制設計及應用之子計劃二：適應模糊控制研究(3／3)_英文摘要.docx摘要15KbMicrosoft Word125View/Open

    All items in 機構典藏 are protected by copyright, with all rights reserved.

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