Modeling of Ship Manoeuvring Motion using Optimized Support Vector Machines

被引：0
|
作者：
Luo, Weilin [1 ]
Cai, Wenlong [1 ]
机构：
[1] Fuzhou Univ, Coll Mech Engn & Automat, Fuzhou 350116, Fujian, Peoples R China
来源：
FIFTH INTERNATIONAL CONFERENCE ON INTELLIGENT CONTROL AND INFORMATION PROCESSING (ICICIP) | 2014年
基金：
中国国家自然科学基金;
关键词：
PARAMETRIC IDENTIFICATION;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Support Vector Machines (SVM) based system identification is proposed to determine the hydrodynamic coefficients in the mathematical model of ship manoeuvring motion. To reduce the complexity of the mathematical model, sensitivity analysis is performed. Particle Swarm Optimization (PSO) is employed to obtain the optimal regularization factor in SVM. Combined with free model tests, the hydrodynamic coefficients are identified by using the optimized SVM. Comparison between the prediction results and the test results demonstrates the validity of the modeling method proposed.
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页码：476 / 478
页数：3
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