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Books > Computing & IT > Applications of computing > Artificial intelligence
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Multisensor Fusion Estimation Theory and Application (Hardcover, 1st ed. 2021)
Loot Price: R4,503
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Multisensor Fusion Estimation Theory and Application (Hardcover, 1st ed. 2021)
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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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