Kalman Filtering - Mohinder S. Grewal, Angus P. Andrews

Kalman Filtering

Theory and Practice Using MATLAB
Buch | Hardcover
416 Seiten
2001 | 2nd Revised edition
John Wiley & Sons Inc (Verlag)
978-0-471-39254-5 (ISBN)
88,81 inkl. MwSt
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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.
"...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.

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.

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.

Erscheint lt. Verlag 29.1.2001
Zusatzinfo references, index
Verlagsort New York
Sprache englisch
Maße 160 x 242 mm
Gewicht 737 g
Einbandart gebunden
Themenwelt Mathematik / Informatik Informatik Theorie / Studium
Technik Elektrotechnik / Energietechnik
Technik Nachrichtentechnik
ISBN-10 0-471-39254-5 / 0471392545
ISBN-13 978-0-471-39254-5 / 9780471392545
Zustand Neuware
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