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 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.