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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/70422

    Title: Fuzzy rule extraction for controller designs
    Authors: Wong, Ching-chang;Su, Mu-chun;Lin, Nine-shen
    Contributors: 淡江大學電機工程學系
    Date: 1995-05-22
    Issue Date: 2011-10-23 21:16:58 (UTC+8)
    Publisher: Institute of electrical and electronics engineers (IEEE)
    Abstract: This paper presents an innovative method for extracting fuzzy rules directly from numerical data for controller designs. Conventional approaches to fuzzy systems assume there is no correlation among features and therefore involve dividing the input and output space into grid regions. However, in most cases, it is likely that features are highly correlated. Therefore, we propose to use an aggregation of hyperspheres with different sizes and different positions to define fuzzy rules. The genetic algorithm is used to select the parameters of the proposed fuzzy systems. The inverted pendulum system is utilized to illustrate the efficiency of the proposed method for finding fuzzy control rules.
    Relation: Industrial Automation and Control: Emerging Technologies, 1995., International IEEE/IAS Conference on, pp.409-412
    DOI: 10.1109/IACET.1995.527596
    Appears in Collections:[電機工程學系暨研究所] 會議論文

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