An algorithm for offline identification of ship manoeuvring mathematical models from free-running tests
An algorithm for offline identification of ship manoeuvring mathematical models from free-running tests
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DOI：
10.1016/j.oceaneng.2014.01.007
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发表时间：
2014-03
影响因子：
5
通讯作者：
S. Sutulo;C. Soares
中科院分区：
文献类型：
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作者：
S. Sutulo;C. Soares
本文提出了一种船舶操纵数学模型的辨识算法。识别过程是基于经典的遗传算法用于最小化之间的距离参考和恢复的时间历史。使用包括Hausdorff度量在内的5种不同度量来测量距离。使用人工污染的各种水平的白色噪声的模拟响应进行算法的验证。结果表明，通过只使用Hausdorff度量，有可能达到必要的鲁棒性的识别算法。
An identification algorithm for ship manoeuvring mathematical models has been developed. The identification procedure is based on the classic genetic algorithm used for minimizing a distance between the reference and recovered time histories. The distance was measured using 5 different metrics including the Hausdorff metric. Validation of the algorithm was carried out using simulated responses artificially polluted with the white noise of various levels. It was demonstrated that by only using the Hausdorff metric it was possible to reach necessary robustness of the identification algorithm.