Kalman Filtering: Theory and Practice with MATLAB Tapa dura - 2014 - 4th Edición
de Mohinder S. Grewal; Angus P. Andrews
Descripción de contraportada
The definitive textbook and professional reference on Kalman Filtering - fully updated, revised, and expanded
This book contains the latest developments in the implementation and application of Kalman filtering. Authors Grewal and Andrews draw upon their decades of experience to offer an in-depth examination of the subtleties, common pitfalls, and limitations of estimation theory as it applies to real-world situations. They present many illustrative examples including adaptations for nonlinear filtering, global navigation satellite systems, the error modeling of gyros and accelerometers, inertial navigation systems, and freeway traffic control.
Kalman Filtering: Theory and Practice Using MATLAB, Fourth Edition is an ideal textbook in advanced undergraduate and beginning graduate courses in stochastic processes and Kalman filtering. It is also appropriate for self-instruction or review by practicing engineers and scientists who want to learn more about this important topic.
Detalles
- Título Kalman Filtering: Theory and Practice with MATLAB
- Autor Mohinder S. Grewal; Angus P. Andrews
- Encuadernación Tapa dura
- Número de edición 4th
- Edición 4
- Páginas 640
- Volúmenes 1
- Idioma ENG
- Editorial Wiley-IEEE Press
- Fecha de publicación 2014-12-31
- ISBN 9781118851210 / 1118851218
- Peso 2.3 libras (1.04 kg)
- Dimensiones 9.3 x 6.2 x 1.4 pulgadas (23.62 x 15.75 x 3.56 cm)
-
Temas
- Aspects (Academic): Reference
- Library of Congress subjects Kalman filtering
- Número de catálogo de la Librería del Congreso de EEUU 2014020208
- Dewey Decimal Code 629.831
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Kalman Filtering: Theory and Practice with MATLAB
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campbelltown, Florida, United States
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Kalman Filtering: Theory and Practice with MATLAB (IEEE Press)
de Grewal, Mohinder S.; Andrews, Angus P
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- good
- Tapa dura
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Franklin Lakes, New Jersey, United States
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