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dc.contributor.advisorHealey, Anthony J.
dc.contributor.authorBahrke, Fredric G.
dc.dateMar-92
dc.date.accessioned2014-01-29T23:37:49Z
dc.date.available2014-01-29T23:37:49Z
dc.date.issued1992-03
dc.identifier.urihttp://hdl.handle.net/10945/38536
dc.descriptionApproved for public release; distribution is unlimited.en_US
dc.description.abstractThe experimental response data from autonomous maneuvering using the NPS AUV II vehicle has been analyzed with a view to defining Kalman filters to provide on-line estimates of system parameters and their variability. Kalman filters, designed for parameter estimation are expected to be the first step in the development of autonomous fault detection systems for underwater vehicles. Secondly, extraction of vehicle hydrodynamic coefficients from these parameters can help to develop vehicle dynamic simulators. Thirdly, knowledge of these parameters will allow the design of improved autopilot and guidance laws.en_US
dc.format.extentxvii, 161 p.: ill.;28 cm.en_US
dc.language.isoen_US
dc.publisherMonterey, California. Naval Postgraduate Schoolen_US
dc.rightsThis publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. As such, it is in the public domain, and under the provisions of Title 17, United States Code, Section 105, may not be copyrighted.en_US
dc.titleOn-line identification of the speed, steering and diving response parameters of an autonomous underwater vehicle from experimental dataen_US
dc.typeThesisen_US
dc.contributor.corporateNaval Postgraduate School (U.S.)
dc.description.serviceLieutenant, US Navy (USN) authoren_US
dc.identifier.oclcocn303541890
etd.thesisdegree.nameM.S. in Mechanical Engineering and Mechanical Engineeren_US
etd.thesisdegree.levelMastersen_US
etd.thesisdegree.disciplineMechanical Engineeringen_US
etd.thesisdegree.grantorNaval Postgraduate Schoolen_US


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