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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/76703

    Title: Multituning fuzzy control systems design
    Authors: Wong, Ching-chang;Chiang, Ding-an;Feng, Hsuan-ming
    Contributors: 淡江大學電機工程學系
    Date: 2000-09
    Issue Date: 2012-05-16 15:28:02 (UTC+8)
    Publisher: Philadelphia, PA : Taylor & Francis
    Abstract: A multituning fuzzy control system structure that involves two simple, but effective tuning mechanisms, is proposed: one is called fuzzy control rule tuning mechanism (FCRTM); the other is called dynamic scalar tuning mechanism (DSTM). In FCRTM, it is used to generate the necessary control rules with a center extension method. In DSTM, it contains three fuzzy IF-THEN rules for determining the appropriate scaling factors for the fuzzy control system. In this paper, a method based on the genetic algorithm (GA) is proposed to simultaneously choose the appropriate parameters in FCRTM and DSTM. That is, the proposed GA-based method can automatically generate the required rule base of fuzzy controller and efficiently determine the appropriate map for building the dynamic scalars of fuzzy controller. A multiobjective fitness function is proposed to determine an appropriate parameter set such that not only the selected fuzzy control structure has fewer fuzzy rules, but also the controlled system has a good control performance. Finally, an inverted pendulum control problem is given to illustrate the effectiveness of the proposed control scheme.
    Relation: Cybernetics and Systems: An International Journal 31(6), pp.713-729
    DOI: 10.1080/01969720050143210
    Appears in Collections:[電機工程學系暨研究所] 期刊論文

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