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Kalman Filtering Mohinder S. Grewal

Kalman Filtering By Mohinder S. Grewal

Kalman Filtering by Mohinder S. Grewal


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Summary

The purpose of a Kalman filter is to estimate the state of a system from measurements that contain random errors, for example, in estimating the position and velocity of a satellite from radar data. This revised edition includes MATLAB programmes and an instructors' manual.

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Kalman Filtering Summary

Kalman Filtering: Theory and Practice Using MATLAB by Mohinder S. Grewal

...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 Edition In 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 numerically stable algorithms Assessing computational requirements Testing the validity of results Monitoring filter performance in operation As the best way to understand and master a technology is to observe it in action, Kalman Filtering: Theory and Practice Using MATLAB(r), Second Edition includes companion software in MATLAB(r), providing users with an opportunity to experience first hand the filter's workings and its limitations. This updated and revised edition of Grewal and Andrews's classic guide is an indispensable working resource for engineers and computer scientists involved in the design of aerospace and aeronautical systems, global positioning and radar tracking systems, power systems, and biomedical instrumentation.

Kalman Filtering Reviews

Provides readers with a working familiarity with both the theoretical and practical aspects of Kalman filtering. (SciTech Book News, Vol. 25, No. 3, September 2001)

About Mohinder S. Grewal

MOHINDER S. GREWAL, PhD, PE, is Professor of Electrical Engineering in the College of Engineering and Computer Science at California State University, Fullerton. He has more than thirty-five years of experience in inertial navigation and control, and his mechanizations are currently used in commercial and military aircraft, surveillance satellites, missile and radar systems, and freeway traffic control. ANGUS P. ANDREWS, PhD, is a senior scientist at the Rockwell Science Center. His experience with aerospace systems analysis and design using Kalman filters began with his involvement in the Apollo moon project, and he is credited with the discovery of unknown landmark tracking as an orbital navigation method.

Table of Contents

Preface. Acknowledgments. General Information. Linear Dynamic Systems. Random Processes and Stochastic Systems. Linear Optimal Filters and Predictors. Nonlinear Applications. Implementation Methods. Practical Considerations. Appendix A: MATLAB Software. Appendix B: A Matrix Refresher. References. Index.

Additional information

CIN0471392545G
9780471392545
0471392545
Kalman Filtering: Theory and Practice Using MATLAB by Mohinder S. Grewal
Used - Good
Hardback
John Wiley and Sons Ltd
20010116
416
N/A
Book picture is for illustrative purposes only, actual binding, cover or edition may vary.
This is a used book - there is no escaping the fact it has been read by someone else and it will show signs of wear and previous use. Overall we expect it to be in good condition, but if you are not entirely satisfied please get in touch with us

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