Diving dynamics identification and motion prediction for marine crafts using field data
Journal of Ocean Engineering and Science(2023)
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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