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Kalman Filtering : Theory and Practice Using MATLAB by Angus P. Andrews and Mohinder S. Grewal (2001, Hardcover)
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Über dieses Produkt
Product Identifiers
PublisherWiley & Sons, Incorporated, John
ISBN-100471392545
ISBN-139780471392545
eBay Product ID (ePID)1712540
Product Key Features
Number of Pages416 Pages
LanguageEnglish
Publication NameKalman Filtering : Theory and Practice Using Matlab
SubjectMathematical & Statistical Software, Electrical
Publication Year2001
FeaturesRevised
TypeTextbook
AuthorAngus P. Andrews, Mohinder S. Grewal
Subject AreaComputers, Technology & Engineering
FormatHardcover
Dimensions
Item Height1 in
Item Weight25.2 Oz
Item Length9.3 in
Item Width6.3 in
Additional Product Features
Edition Number2
Intended AudienceScholarly & Professional
LCCN00-043689
Reviews"This book could serve as an introduction to stochastic/random processes...practicing engineers with enough mathematical background would appreciate this book...academicians and scientists would also find this book very useful." ( IEEE Circuits & Devices Magazine , July 2003) "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)
Dewey Edition22
IllustratedYes
Dewey Decimal629.8/312
Edition DescriptionRevised edition
Table Of ContentPreface.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.
SynopsisThe purpose of a Kalman filter is to estimate the state of a system from measurements that contain random errors. An example of this is estimating the position and velocity of a satellite from radar data. The book includes real-world problems in practice as illustrative examples and also covers the more practical aspects of implementation., ". . . 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. An Instructor's Manual presenting detailed solutions to all the problems in the book is available from the Wiley editorial department., ." . . 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. An Instructor's Manual presenting detailed solutions to all the problems in the book is available from the Wiley editorial department., ". . . an authentic magnum opus worth much more than its weight in gold!" from a review of the First Edition - IEEE Transactions on Automatic Control "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." from a review of the First Edition - Amazon.com In this practical introduction to Kalman filtering theory and applications, authors Mohinder Grewal and Angus 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®, Second Edition includes companion software in MATLAB®, providing users with an opportunity to experience firsthand 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.
LC Classification NumberQA402.3.G695 2001
