Parameters identification for ship motion model based on particle swarm optimization

@article{Chen2010ParametersIF,
  title={Parameters identification for ship motion model based on particle swarm optimization},
  author={Yongbing Chen and Yexin Song and Mianyun Chen},
  journal={Kybernetes},
  year={2010},
  volume={39},
  pages={871-880}
}
Purpose – The purpose of this paper is to identify the Nomoto ship model parameters accurately, in order to produce a very close match between the predictions based on the model and the full-scale trials. Design/methodology/approach – Various ship maneuvering mathematical models have been used when describing the ship dynamics behavior. The Nomoto ship model is a class of simplified hydrodynamic derivative type models which are the most widely used, accepted and perhaps well developed. To… CONTINUE READING

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