Identification of Nomoto models with integral sample structure for identification

This documentation presents the parametric identification of Nomoto models by using the proposed integral sample structure for identification (ISSI). The dataset used for validations are obtained from the free-running model tests. By analyzing the experimental data including yaw rate and rudder angl...

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Bibliographic Details
Published inProceedings of the 33rd Chinese Control Conference pp. 6721 - 6725
Main Authors Feng, Xu, Xiao, Tao, Xing, Xiaowen, Liu, Zhongming
Format Conference Proceeding
LanguageEnglish
Published TCCT, CAA 01.07.2014
Subjects
Data models
Equations
Marine vehicles
Mathematical model
Nomoto models
Predictive models
ship maneuvering
Support vector machines
System identification
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Summary:This documentation presents the parametric identification of Nomoto models by using the proposed integral sample structure for identification (ISSI). The dataset used for validations are obtained from the free-running model tests. By analyzing the experimental data including yaw rate and rudder angle, the maneuvering indices in the 1st-order linear and nonlinear Nomoto models are approximated based on least square support vector machines (LS-SVM), where ISSI and the conventional Euler sample structure for identification (ESSI) are employed for the construction of the in-out sample pairs, respectively. The comparison between ISSI and ESSI is carried out for the validation of the proposed sample structure for identification.
ISSN:2161-2927
DOI:10.1109/ChiCC.2014.6896105