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Taschenbuch. Condition: Neu. Multisensor Fusion Estimation Theory and Application | Liping Yan (u. a.) | Taschenbuch | xvii | Englisch | 2021 | Springer Singapore | EAN 9789811594281 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Published by Springer Nature Singapore, Springer Nature Singapore, 2021
ISBN 10: 9811594287 ISBN 13: 9789811594281
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book focuses on the basic theory and methods of multisensor data fusion state estimation and its application. It consists of four parts with 12 chapters. In Part I, the basic framework and methods of multisensor optimal estimation and the basic concepts of Kalman filtering are briefly and systematically introduced. In Part II, the data fusion state estimation algorithms under networked environment are introduced. Part III consists of three chapters, in which the fusion estimation algorithms under event-triggered mechanisms are introduced. Part IV consists of two chapters, in which fusion estimation for systems with non-Gaussian but heavy-tailed noises are introduced. The book is primarily intended for researchers and engineers in the field of data fusion and state estimation. It also benefits for both graduate and undergraduate students who are interested in target tracking, navigation, networked control, etc.
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Published by Springer Nature Singapore, Springer Nature Singapore, 2020
ISBN 10: 9811594252 ISBN 13: 9789811594250
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Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book focuses on the basic theory and methods of multisensor data fusion state estimation and its application. It consists of four parts with 12 chapters. In Part I, the basic framework and methods of multisensor optimal estimation and the basic concepts of Kalman filtering are briefly and systematically introduced. In Part II, the data fusion state estimation algorithms under networked environment are introduced. Part III consists of three chapters, in which the fusion estimation algorithms under event-triggered mechanisms are introduced. Part IV consists of two chapters, in which fusion estimation for systems with non-Gaussian but heavy-tailed noises are introduced. The book is primarily intended for researchers and engineers in the field of data fusion and state estimation. It also benefits for both graduate and undergraduate students who are interested in target tracking, navigation, networked control, etc.
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Published by Springer Nature Singapore Nov 2020, 2020
ISBN 10: 9811594252 ISBN 13: 9789811594250
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book focuses on the basic theory and methods of multisensor data fusion state estimation and its application. It consists of four parts with 12 chapters. In Part I, the basic framework and methods of multisensor optimal estimation and the basic concepts of Kalman filtering are briefly and systematically introduced. In Part II, the data fusion state estimation algorithms under networked environment are introduced. Part III consists of three chapters, in which the fusion estimation algorithms under event-triggered mechanisms are introduced. Part IV consists of two chapters, in which fusion estimation for systems with non-Gaussian but heavy-tailed noises are introduced. The book is primarily intended for researchers and engineers in the field of data fusion and state estimation. It also benefits for both graduate and undergraduate students who are interested in target tracking, navigation, networked control, etc. 248 pp. Englisch.
Language: English
Published by Springer Nature Singapore Nov 2021, 2021
ISBN 10: 9811594287 ISBN 13: 9789811594281
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book focuses on the basic theory and methods of multisensor data fusion state estimation and its application. It consists of four parts with 12 chapters. In Part I, the basic framework and methods of multisensor optimal estimation and the basic concepts of Kalman filtering are briefly and systematically introduced. In Part II, the data fusion state estimation algorithms under networked environment are introduced. Part III consists of three chapters, in which the fusion estimation algorithms under event-triggered mechanisms are introduced. Part IV consists of two chapters, in which fusion estimation for systems with non-Gaussian but heavy-tailed noises are introduced. The book is primarily intended for researchers and engineers in the field of data fusion and state estimation. It also benefits for both graduate and undergraduate students who are interested in target tracking, navigation, networked control, etc. 248 pp. Englisch.
Language: English
Published by Springer, Berlin|Springer Nature Singapore|Springer, 2021
ISBN 10: 9811594287 ISBN 13: 9789811594281
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Add to basketCondition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book focuses on the basic theory and methods of multisensor data fusion state estimation and its application. In Part II, the data fusion state estimation algorithms under networked environment are introduced. Part III consists of three chapters, in wh.
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Add to basketGebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Addresses multisensor data fusion state estimation both in theory and practiceStudies comprehensively state fusion estimation methods in case of networked transmission problemsPresents the design of event-triggered strategies and .
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Published by Springer Nature Singapore, 2020
ISBN 10: 9811508089 ISBN 13: 9789811508080
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Add to basketCondition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Provides a comprehensive investigation into challenging problems concerning the application of Kalman filteringIntroduces state-of-art techniques and a wealth of novel resultsCan serve as either a reference book or a textbook.
Language: English
Published by Springer Nature Singapore, 2019
ISBN 10: 9811508054 ISBN 13: 9789811508059
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Add to basketGebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Provides a comprehensive investigation into challenging problems concerning the application of Kalman filteringIntroduces state-of-art techniques and a wealth of novel resultsCan serve as either a reference book or a textbook.
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