Multisensor Fusion Estimation Theory and Application
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…
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Produktdetails
Weitere Autoren: Jiang, Lu / Yan, Liping
- ISBN: 978-981-1594-26-7
- EAN: 9789811594267
- Produktnummer: 35185670
- Verlag: Springer
- Sprache: Englisch
- Erscheinungsjahr: 2020
- Plattform: PDF
- Masse: 7'027 KB
Über den Autor
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