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dc.contributor.editorLuiz de Oliveira Serra, Ginalber
dc.date.accessioned2023-12-01T17:22:36Z
dc.date.available2023-12-01T17:22:36Z
dc.date.issued2018
dc.identifierONIX_20231201_9789535138280_1468
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/130359
dc.description.abstractThis book presents recent issues on theory and practice of Kalman filters, with a comprehensive treatment of a selected number of concepts, techniques, and advanced applications. From an interdisciplinary point of view, the contents from each chapter bring together an international scientific community to discuss the state of the art on Kalman filter-based methodologies for adaptive/distributed filtering, optimal estimation, dynamic prediction, nonstationarity, robot navigation, global navigation satellite systems, moving object tracking, optical communication systems, and active power filters, among others. The theoretical and methodological foundations combined with extensive experimental explanation make this book a reference suitable for students, practicing engineers, and researchers in sciences and engineering.
dc.languageEnglish
dc.subject.classificationthema EDItEUR::P Mathematics and Science::PB Mathematics::PBW Applied mathematicsen_US
dc.subject.otherparameter estimation, ensemble kalman filter, state estimation, pattern recognition, sensitivity analysis, extended kalman filter
dc.titleKalman Filters
dc.title.alternativeTheory for Advanced Applications
dc.typebook
oapen.identifier.doi10.5772/intechopen.68249
oapen.relation.isPublishedBy78a36484-2c0c-47cb-ad67-2b9f5cd4a8f6
oapen.relation.isbn9789535138280
oapen.relation.isbn9789535138273
oapen.relation.isbn9789535140382
oapen.imprintIntechOpen
oapen.pages314


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