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Can I read Kalman Filtering: Theory and Practice Using MATLAB ® on EtoBox?
Kalman Filtering: Theory and Practice Using MATLAB ® by Mohinder S. Grewal; Angus P. Andrews is a nonfiction available to read on EtoBox.
What is Kalman Filtering: Theory and Practice Using MATLAB ® about?
"... an authentic magnum opus worth much more than its weight in gold!"-IEEE Transactions on Automatic Control, from a review of the First Edition"The best book I've seen on the subject of Kalman filtering ... Reading other books on Kalman filters and not this one could make you a very dangerous Kalman filter engineer."-Amazon.com, from a review of the First EditionIn this practical introduction to Kalman filtering theory and applications, authors Grewal and Andrews draw upon their decades of experience to offer an in-depth examination of the subtleties, common problems, and limitations of estimation theory as it applies to real-world situations. They provide many illustrative examples drawn from an array of application areas including GPS-aided INS, the modeling of gyros and accelerometers, inertial navigation, and freeway traffic control. In addition, they share many hard-won lessons about, and original methods for, designing, implementing, validating, and improving Kalman filters, including techniques for:\* Representing the problem in a mathematical model\* Analyzing estimator performance as a function of model parameters\* Implementing the mechanization equations in numericall
Who reads Kalman Filtering: Theory and Practice Using MATLAB ®?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Mohinder S. Grewal; Angus P. Andrews
- Publisher
- Wiley Interscience Imprint
- Published
- 2002
- Language
- EN
- ISBN
- 9780471266389
- Category
- nonfiction
- Subjects
- Mathematics, Engineering, Stem
Other editions & translations
- Kalman Filtering: Theory and Practice Using MATLAB ® (2001)
- Kalman Filtering Theory and Practice Using Matlab-Fourth edition (2015)
- Kalman filtering : theory and practice using MATLAB® (2008)
- Kalman Filtering : Theory and Practice with MATLAB (2015)
- Kalman Filtering: Theory and Practice Using MATLAB ®, Second Edition (2002)
- Kalman Filtering: Theory and Practice Using MATLAB®, Third Edition (2008)
- Kalman Filtering: Theory and Practice with MATLAB (Wiley - IEEE) (2014)
More by Mohinder S. Grewal; Angus P. Andrews
Browse all works by Mohinder S. Grewal; Angus P. Andrews
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