Kalman Filters Theory for Advanced Applications
This book presents recent issues on theory and practice of Kalman filters, with a comprehensive treatment of a selected number of concepts, techniques, and advanced applications. From an interdisciplinary point of view, the contents from each chapter bring together an international scientific commun...
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| Format: | Electronic Book Chapter |
| Language: | English |
| Published: |
IntechOpen
2018
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| Online Access: | DOAB: download the publication DOAB: description of the publication |
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| 245 | 1 | 0 | |a Kalman Filters |b Theory for Advanced Applications |
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| 520 | |a This book presents recent issues on theory and practice of Kalman filters, with a comprehensive treatment of a selected number of concepts, techniques, and advanced applications. From an interdisciplinary point of view, the contents from each chapter bring together an international scientific community to discuss the state of the art on Kalman filter-based methodologies for adaptive/distributed filtering, optimal estimation, dynamic prediction, nonstationarity, robot navigation, global navigation satellite systems, moving object tracking, optical communication systems, and active power filters, among others. The theoretical and methodological foundations combined with extensive experimental explanation make this book a reference suitable for students, practicing engineers, and researchers in sciences and engineering. | ||
| 540 | |a Creative Commons |f https://creativecommons.org/licenses/by/3.0/ |2 cc |4 https://creativecommons.org/licenses/by/3.0/ | ||
| 546 | |a English | ||
| 650 | 7 | |a Applied mathematics |2 bicssc | |
| 653 | |a parameter estimation, ensemble kalman filter, state estimation, pattern recognition, sensitivity analysis, extended kalman filter | ||
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| 856 | 4 | 0 | |a www.oapen.org |u https://directory.doabooks.org/handle/20.500.12854/130359 |7 0 |z DOAB: description of the publication |