| 書目名稱 | Multisensor Fusion Estimation Theory and Application |
| 編輯 | Liping Yan,Lu Jiang,Yuanqing Xia |
| 視頻video | http://file.papertrans.cn/642/641197/641197.mp4 |
| 概述 | Addresses multisensor data fusion state estimation both in theory and practice.Studies comprehensively state fusion estimation methods in case of networked transmission problems.Presents the design of |
| 圖書封面 |  |
| 描述 | .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.. |
| 出版日期 | Book 2021 |
| 關(guān)鍵詞 | Multisensor data fusion; State estimation; Kalman filter; Heavy-tailed noise; Event-triggered mechanism |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-981-15-9426-7 |
| isbn_softcover | 978-981-15-9428-1 |
| isbn_ebook | 978-981-15-9426-7 |
| copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor |
|Archiver|手機版|小黑屋|
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