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contributor authorPerera, Lokukaluge P.
contributor authorOliveira, P.
contributor authorGuedes Soares, C.
date accessioned2017-05-09T01:22:40Z
date available2017-05-09T01:22:40Z
date issued2015
identifier issn0892-7219
identifier otheromae_137_03_031302.pdf
identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/159365
description abstractIn this paper, the stochastic parameters describing a nonlinear ocean vessel steering model are identified, resorting to an extended Kalman filter (EKF). The proposed method is applied to a secondorder modified Nomoto model for vessel steering and that is derived from first physics principles. Furthermore, the results obtained resorting to a realistic numerical simulator of nonlinear vessel steering are also illustrated in this study.
publisherThe American Society of Mechanical Engineers (ASME)
titleSystem Identification of Nonlinear Vessel Steering
typeJournal Paper
journal volume137
journal issue3
journal titleJournal of Offshore Mechanics and Arctic Engineering
identifier doi10.1115/1.4029826
journal fristpage31302
journal lastpage31302
identifier eissn1528-896X
treeJournal of Offshore Mechanics and Arctic Engineering:;2015:;volume( 137 ):;issue: 003
contenttypeFulltext


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