淡江大學機構典藏:Item 987654321/52800
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    Please use this identifier to cite or link to this item: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/52800


    Title: Application of an on-line trainning predictor/controller to dynamic positioning of floating structures
    Authors: 李宗翰;Lee, Tzung-hang;Cao, Yusong;Lin, Yen-mi
    Contributors: 淡江大學機械與機電工程學系
    Keywords: On-line training;Neural network predictor/controller;Dynamic positioning
    Date: 2001-09-01
    Issue Date: 2010-12-01 10:32:44 (UTC+8)
    Publisher: 臺北縣：淡江大學
    Abstract: An on-line training functional-link neural network predictor/controller for dynamic positioning of water surface structures is described in this paper. To develop a neural network for time-evolving systems, the deterministic on-line training model in a traditional parameter identification theory and the functional-link network are combined. The system's previous input and output are used to be additional enhancements to the functional-link network. The on-line training neural network predictor acquires the knowledge about the system using a small number of samples of the latest system status measured on board of the structure. The trained functional-link neural network is used with an optimal controller to control the output of the system. The accuracy and robustness of the on-line training predictor are demonstrated through the numerical simulations of two ship maneuvers. The on-line training neural network predictor/controller is applied to the dynamic positioning (station-keeping) of a ship in a uniform current with and without external environmental disturbances. The results of the numerical simulations are very satisfactory.
    Relation: 淡江理工學刊=Tamkang journal of science and engineering 4(3)，頁141-154
    DOI: 10.6180/jase.2001.4.3.01
    Appears in Collections:[Graduate Institute & Department of Mechanical and Electro-Mechanical Engineering] Journal Article

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