...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Ocean engineering >Grey-box identification modeling of ship maneuvering motion based on LS-SVM
【24h】

Grey-box identification modeling of ship maneuvering motion based on LS-SVM

机译：Grey-box identification modeling of ship maneuvering motion based on LS-SVM

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相关主题

摘要

The establishment of a high precision ship motion model is helpful to predict the motion of ships in a short time, and improve the safety and stability of marine operations. Determining the parameters is the key to ensuring the accuracy of the model. In this paper, a 4-DOF grey-box model of ship maneuvering motion is established based on the MMG model. Combined with the training datasets obtained from the designed tests, the least square support vector machine (LS-SVM) method is used to identify the parameters in the grey-box model. It is verified that the model has good applicability in a clean system by comparing the results. Three different levels of noise are applied to the training datasets to simulate the system measurement errors, and the prediction accuracies of three ship test cases at different levels of disturbance are analyzed by calculating RMSE and MAPE. The results show that the model established by the grey-box identification modeling method has good validity and robustness under disturbance, and can provide a certain degree of reliable support for ship motion prediction.

著录项

获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号