English  |  正體中文  |  简体中文  |  Items with full text/Total items : 848/2341 (36%)
Visitors : 5041720      Online Users : 63
RC Version 7.0 © 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
    TFIR > Department of Electrical Engineering > conference >  Item 987654321/1662
    Please use this identifier to cite or link to this item: http://163.15.40.127/ir/handle/987654321/1662


    Title: To solve Lorenz system by sliding model controller based on interval type-2 fuzzy logic
    Authors: Guo, Nai-Ren
    Kuo, Chao-Lin
    Lin, Ming-Hong
    Tsai, Tzong-Jiy
    蔡宗吉
    (東方技術學院電機工程系)
    林明宏
    郭乃仁
    Contributors: 東方技術學院電機工程系
    Keywords: Fuzzy logic
    chaos system
    sliding control
    Date: 2009-11-30
    Issue Date: 2014-04-18 14:44:41 (UTC+8)
    Abstract: In this manuscript, we present a novel method to solve Lorenz chaos problem. As we known, the traditional fuzzy logic control method, it spends a lot of time to determine the membership functions and fuzzy if-then rules by trial-and-error tuning. To overcome these drawbacks, we propose to design an interval fuzzy type-2 controller with the sliding surface. The fuzzy if-then rules are defined based on the sliding surface, and the output of the fuzzy controller is inferred by the proper compositional rule of inference. The motivation behind this scheme is to drive the states of Lorenz system by using the sliding surface. The simulation results indicate that the proposed method is feasible and effective for the Lorenz chaos problem.
    Relation: 2009 Second International Symposium on Knowledge Acquisition and Modeling, Vol. 1, pp.27-30
    KAM 2009
    Appears in Collections:[Department of Electrical Engineering] conference

    Files in This Item:

    There are no files associated with this item.



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


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