Dynamic Parameter Estimation of a Nonlinear Vessel Steering Model for Ocean Navigation
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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.
2015 ◽
Vol 137
(3)
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1990 ◽
Vol 39
(5)
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pp. 790-792
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2011 ◽
Vol 137
(655)
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pp. 435-451
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2018 ◽
Vol 11
(6)
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pp. 1-9
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