@article {Cooper:2017:0028-1425:117,
title = "Design of a Controller for Autonomous Vessel Recovery Utilizing the Prediction of Host Vessel Motions",
journal = "Naval Engineers Journal",
parent_itemid = "infobike://asne/nej",
publishercode ="asne",
year = "2017",
volume = "129",
number = "1",
publication date ="2017-03-01T00:00:00",
pages = "117-131",
itemtype = "ARTICLE",
issn = "0028-1425",
eissn = "1559-3584",
url = "https://www.ingentaconnect.com/content/asne/nej/2017/00000129/00000001/art00020",
author = "Cooper, Michele and McCue, Leigh",
abstract = "In this paper predictive algorithms are used to forecast host vessel motions during USV recovery operations. This forecasting is utilized as part of a recovery controller to trigger transition from loitering to initiation of the entry maneuver. This paper provides discussion of the
controller and predictor components of the recovery system with application to a hypothetical USV-host vessel combination. Two separate predictors were considered and evaluated against the requirements of the controller, one based upon artificial neural networks, and a statistical based approach
utilizing the identification of like points in past trajectory data.",
}