Please use this identifier to cite or link to this item: http://dspace.mediu.edu.my:8181/xmlui/handle/1721.1/2847
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dc.contributorTriantafyllou, Michael S.-
dc.contributorBodson, Marc.-
dc.contributorAthans, Michael.-
dc.date2003-04-29T15:22:16Z-
dc.date2003-04-29T15:22:16Z-
dc.date1983-
dc.date.accessioned2013-06-04T16:15:32Z-
dc.date.available2013-06-04T16:15:32Z-
dc.date.issued2013-06-05-
dc.identifierhttp://hdl.handle.net/1721.1/2847-
dc.identifier.urihttp://koha.mediu.edu.my:8181/xmlui/handle/1721-
dc.descriptionMichael S. Triantafyllou, Marc Bodson, Michael Athans.-
dc.descriptionCaption title.-
dc.descriptionBibliography: p. 19-20.-
dc.descriptionAmes Research Center Grant NGL-22-009-124-
dc.formatp. 9-20-
dc.format1361498 bytes-
dc.formatapplication/pdf-
dc.languageeng-
dc.publisherLaboratory for Information and Decision Systems, Massachusetts Institute of Technology-
dc.relationLIDS-P ; 1280-
dc.subjectTK7855.M41 E3845 no.1280-
dc.subjectKalman filtering-
dc.subjectLanding aids (Aeronautics)-
dc.subjectDestroyers (Warships)-
dc.titleReal time estimation of ship motions using Kalman filtering techniques-
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