Kalman Filtering

Theory and Practice with MATLAB

Nonfiction, Science & Nature, Technology, Remote Sensing
Cover of the book Kalman Filtering by Mohinder S. Grewal, Angus P. Andrews, Wiley
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Author: Mohinder S. Grewal, Angus P. Andrews ISBN: 9781118984918
Publisher: Wiley Publication: December 29, 2014
Imprint: Wiley-IEEE Press Language: English
Author: Mohinder S. Grewal, Angus P. Andrews
ISBN: 9781118984918
Publisher: Wiley
Publication: December 29, 2014
Imprint: Wiley-IEEE Press
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

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