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    Please use this identifier to cite or link to this item: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/46070


    Title: A simulated annealing approach to switching grey prediction fuzzy control system design
    Authors: 翁慶昌;Wong, Ching-chang;Chen, Chia-chong
    Contributors: 淡江大學電機工程學系
    Date: 1998-06-01
    Issue Date: 2010-03-26 20:52:57 (UTC+8)
    Publisher: Taylor & Francis
    Abstract: The concept of a grey predictor and a fuzzy controller will he integrated to construct a switching grey prediction fuzzy control system structure. A rule mapping fuzzy controller is considered in the proposed control system so that the design of the controller is systematic and efficient. In the design of the switching grey predictor, the authors divide the system response into some regions and propose a switching mechanism so that a different forecasting step-size is given in the different region to simultaneously improve the transient and steady-state responses of the controlled system. Moreover, the authors apply simulated annealing ( SA) to find the appropriate parameter values so that the controlled system has a high control performance. Finally, simulation results of the inverted pendulum system are given to prove the efficiency of the proposed methods.
    Relation: International journal of systems science 29(6), pp.637-642
    DOI: 10.1080/00207729808929556
    Appears in Collections:[電機工程學系暨研究所] 期刊論文

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