Datasets for "Importance of Data Richness in Identification of Ship Maneuvering Hydrodynamic Models"

Dataset for the paper:"Importance of Data Richness in Identification of Ship Maneuvering Hydrodynamic Models" Authors:Vallabh DeogaonkarAbhilash SomayajulaMarine Autonomous Vessels LaboratoryDepartment of Ocean EngineeringIndian Institute of Technology Madras, India Description:This archive contains trajectory datasets generated through simulation for the study of system identification of ship maneuvering models. The datasets were usedfor training hydrodynamic coefficient identification models in the above-mentioned paper. The trajectories correspond to simulated free-running maneuvers of the vessel models described in the manuscript. These trajectories were generated using thegoverning maneuvering equations and hydrodynamic coefficients provided in the paper. File contents:- KCS : Training trajectories for KCS vessel model - StandardManeuversLit - StandardManeuversExt - DEM- Mariner : Training trajectories for Mariner vessel model - StandardManeuversLit - StandardManeuversExt - DEM Each dataset contains time histories of nondimensional vessel states used for system identification. For details of the governing equations, hydrodynamic coefficients, and maneuverdesign, please refer to the manuscript.