Diving dynamics identification and motion prediction for marine crafts using field data

Journal of Ocean Engineering and Science(2023)

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摘要
•Integration of measurement noise and nonlinear actuator traits refines dynamic environmental modeling.•IVLS promotes noise-data independence, ensuring parameter convergence sans prior noise knowledge.•Employing moderate depth data exemplifies successful marine craft motion modeling in real-world.•Field data parameter identification and prediction are enhanced by superior IVLS over RWLS, LS-SVM.
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关键词
Marine craft,Parameter identification,Motion prediction,Instrumental variable-based least-squares algorithm,Diving dynamics model
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