Synopsis
This book mainly focuses on the theme of optimizing estimation and sensor information fusion processing for stochastic dynamic systems. It summarizes the basic theories and methods of optimizing estimation and information fusion direction, including stochastic system models, optimal estimation methods, linear state estimation, nonlinear state estimation, information fusion models, structures, data processing methods, data association based on multi-source data estimation, and other aspects.
On the basis of years of teaching practice, the author optimizes the content layout, focuses on the basic theoretical methods of the subject, emphasizes the systematic nature of the theory and the rigor of expression, selectively cuts out some outdated content, and introduces some important and widely accepted new developments in the subject.
On the other hand, this book also serves as a reference material for technical developers in this field.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
À propos de l?auteur
Dr. Ming Lei received his doctoral degree in the discipline of control theory and control engineering from Xi'an Jiao Tong University (XJTU) in 2006. He then conducted postdoctoral research and visiting research fellow at the University of Bordeaux I and METRO-FRANCE in France from 2008 to 2012. He is currently an associate professor at Shanghai Jiao Tong University (SJTU). His main research interests include stochastic estimation and nonlinear filtering, maneuvering multi-target tracking and multi-source information fusion, and their applications in maneuvering target detection, unmanned aerial vehicle guidance and control.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Optimal Estimation and Information Fusion
Edité par
Springer Verlag GmbH, 2025
ISBN 10 : 9819631726
ISBN 13 : 9789819631728
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Couverture rigide
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Optimal Estimation and Information Fusion: Theory and Algorithms
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ISBN 10 : 9819631726
ISBN 13 : 9789819631728
Neuf
Couverture rigide
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Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book mainly focuses on the theme of optimizing estimation and sensor information fusion processing for stochastic dynamic systems. It summarizes the basic theories and methods of optimizing estimation and information fusion direction, including stochastic system models, optimal estimation methods, linear state estimation, nonlinear state estimation, information fusion models, structures, data processing methods, data association based on multi-source data estimation, and other aspects.On the basis of years of teaching practice, the author optimizes the content layout, focuses on the basic theoretical methods of the subject, emphasizes the systematic nature of the theory and the rigor of expression, selectively cuts out some outdated content, and introduces some important and widely accepted new developments in the subject.On the other hand, this book also serves as a reference material for technical developers in this field. 508 pp. Englisch. N° de réf. du vendeur 9789819631728
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Optimal Estimation and Information Fusion: Theory and Algorithms: Theory and Algorithms
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Optimal Estimation and Information Fusion: Theory and Algorithms
Edité par
Springer, Springer Jul 2025, 2025
ISBN 10 : 9819631726
ISBN 13 : 9789819631728
Neuf
Couverture rigide
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Buch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book mainly focuses on the theme of optimizing estimation and sensor information fusion processing for stochastic dynamic systems. It summarizes the basic theories and methods of optimizing estimation and information fusion direction, including stochastic system models, optimal estimation methods, linear state estimation, nonlinear state estimation, information fusion models, structures, data processing methods, data association based on multi-source data estimation, and other aspects.On the basis of years of teaching practice, the author optimizes the content layout, focuses on the basic theoretical methods of the subject, emphasizes the systematic nature of the theory and the rigor of expression, selectively cuts out some outdated content, and introduces some important and widely accepted new developments in the subject.On the other hand, this book also serves as a reference material for technical developers in this field.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 508 pp. Englisch. N° de réf. du vendeur 9789819631728
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Optimal Estimation and Information Fusion: Theory and Algorithms (Hardcover)
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ISBN 13 : 9789819631728
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Hardcover. Etat : new. Hardcover. This book mainly focuses on the theme of optimizing estimation and sensor information fusion processing for stochastic dynamic systems. It summarizes the basic theories and methods of optimizing estimation and information fusion direction, including stochastic system models, optimal estimation methods, linear state estimation, nonlinear state estimation, information fusion models, structures, data processing methods, data association based on multi-source data estimation, and other aspects.On the basis of years of teaching practice, the author optimizes the content layout, focuses on the basic theoretical methods of the subject, emphasizes the systematic nature of the theory and the rigor of expression, selectively cuts out some outdated content, and introduces some important and widely accepted new developments in the subject.On the other hand, this book also serves as a reference material for technical developers in this field. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N° de réf. du vendeur 9789819631728
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Optimal Estimation and Information Fusion: Theory and Algorithms
Edité par
Springer, Springer, 2025
ISBN 10 : 9819631726
ISBN 13 : 9789819631728
Neuf
Couverture rigide
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
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Buch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This book mainly focuses on the theme of optimizing estimation and sensor information fusion processing for stochastic dynamic systems. It summarizes the basic theories and methods of optimizing estimation and information fusion direction, including stochastic system models, optimal estimation methods, linear state estimation, nonlinear state estimation, information fusion models, structures, data processing methods, data association based on multi-source data estimation, and other aspects.On the basis of years of teaching practice, the author optimizes the content layout, focuses on the basic theoretical methods of the subject, emphasizes the systematic nature of the theory and the rigor of expression, selectively cuts out some outdated content, and introduces some important and widely accepted new developments in the subject.On the other hand, this book also serves as a reference material for technical developers in this field. N° de réf. du vendeur 9789819631728
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