Linear Model Identification by Least Squares Method as Applied to Ship Motion

M. V. Sotnikova

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Linear Model Identification by Least Squares Method as Applied to Ship Motion

机译：最小二乘线性模型辨识在船舶运动中的应用

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摘要

The paper investigates the optimal use of least squares method for identifying the linear model of ship yawing motion. Dependency of identification quality on experiment conditions is analyzed. Various MATLAB implementations of least squares method are compared.

机译：本文研究了最小二乘方法用于识别船舶偏航运动线性模型的最佳方法。分析了识别质量对实验条件的依赖性。比较了最小二乘法的各种MATLAB实现。

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《Gyroscopy and navigation》 |2012年第2期|p.100-103|共4页
作者
M. V. Sotnikova;
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作者单位

St. Petersburg State University, St. Petersburg, Russia;

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原文格式 PDF
正文语种 eng
中图分类
关键词
MATLAB; least squares method; problem of the identification;

机译：MATLAB;最小二乘法识别问题;

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5. Quadratically constrained least squares identification and nonlinear system identification using Hammerstein/nonlinear feedback models. [D] . Van Pelt, Tobin Hunter. 2000

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7. Parametric Identification of Ship's Maneuvering Motion Based on Improved Least Square Method [O] . Yugang Qin, Yong Ma 2014

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8. Fully Nonlinear, Dynamically Consistent Numerical Model for Solid-Body Ship Motion. I. Ship Motion with Fixed Heading. [R] . Lin, R. Q., Kuang, W. 2011

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Linear Model Identification by Least Squares Method as Applied to Ship Motion

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