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• W2117645779 abstract "In this paper the stochastic parameters describing the nonlinear ocean vessel steering model are identified, resorting to an Extended Kalman Filter. The proposed method is applied to a second order modified Nomoto model for the vessel navigation that is derived from first physics principles. The results obtained resorting to a realistic numerical simulator for the nonlinear vessel steering model considered are illustrated in this study." @default.
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• W2117645779 date "2011-01-01" @default.
• W2117645779 modified "2023-09-25" @default.
• W2117645779 title "Dynamic Parameter Estimation of a Nonlinear Vessel Steering Model for Ocean Navigation" @default.
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• W2117645779 doi "https://doi.org/10.1115/omae2011-50249" @default.
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