Multisensor Fusion Estimation Theory and Application (Hardcover, 1st ed. 2021)

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.

General

Imprint:	Springer Verlag, Singapore
Country of origin:	Singapore
Release date:	November 2020
First published:	2021
Authors:	Liping Yan • Lu Jiang • Yuanqing Xia
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	227
Edition:	1st ed. 2021
ISBN-13:	978-981-15-9425-0
Categories:	Books > Professional & Technical > Electronics & communications engineering > Communications engineering / telecommunications > General Books > Computing & IT > Applications of computing > Databases > General Books > Computing & IT > Applications of computing > Artificial intelligence > General Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Automatic control engineering > General Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Applied optics > General Promotions
LSN:	981-15-9425-2
Barcode:	9789811594250

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