Téléchargez le livre : Multisensor Fusion Estimation Theory and Application

Multisensor Fusion Estimation Theory and Application

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Springer


Paru le : 2020-11-11

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Description

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.
Pages
227 pages
Collection
n.c
Parution
2020-11-11
Marque
Springer
EAN papier
9789811594250
EAN PDF
9789811594267
Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
22
Taille du fichier
7025 Ko
Prix
147,69 €
EAN EPUB
9789811594267
Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
22
Taille du fichier
29901 Ko
Prix
147,69 €

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