Kalman Filtering: Theory and Practice Using MATLAB (Anglais) Relié – 26 septembre 2008
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Note: CD–ROM/DVD and other supplementary materials are not included as part of eBook file.
An Instructor′s Manual presenting detailed solutions to all the problems in the book is available from the Wiley editorial department –– to obtain the manual, send an email to email@example.com.
Quatrième de couverture
"An authentic magnum opus worth much more than its weight in gold!"
IEEE Transactions on Automatic Control
The proven textbook on Kalman filtering now fully updated, revised, and expanded
This book successfully provides readers with a solid introduction to the theoretical and practical aspects of Kalman filtering. 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 present many illustrative examples drawn from an array of application areas including GNSS–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.
This Third Edition has been updated with the latest developments in the implementation and application of Kalman filtering, including adaptations for nonlinear filtering, more robust smoothing methods, and developing applications in navigation. All software is provided in MATLAB, giving readers the opportunity to discover how the Kalman filter works in action and to consider the practical arithmetic needed to preserve the accuracy of results.
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, navigation, power systems, and biomedical instrumentation.
Kalman Filtering: Theory and Practice Using MATLAB, Third Edition serves as 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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Commentaires client les plus utiles sur Amazon.com
About 6 months ago, Amazon included positive reviews of this book, but those reviews have disappeared. The first edition of the book was reviewed by a qualified reviewer in the IEEE Transactions on Automatic Control, Vol. 40, No. 11, November 1995, pp. 1983-6 and also reviewed in Proceedings of IEEE, February 1996, pp. 321-304. Quotes from the review include: Many implementation issues which are not to be found in any one prior book are presented and explored...veteran KF applications authors are well qualified by experience and accomplishments to undertake their ambitious goal of becoming mentors to the next generation of information age systems engineers...The concluding Chapter 7 (in the 3rd Edition, it is Chapter 8) is worth many times the price of the book in terms of practical advice...An authentic magnum opus worth much more than its weight in gold! [...]
The 3rd edition of the book begins with random processes/sequences, linear and nonlinear estimators, including unscented Kalman filter (for nonlinear systems). All of the examples and problems are original and related to real world problems, some using MATLAB®, an added plus for the serious user of the text. The main thrust of the book is on implementation methods and practical considerations (filter tuning) of Kalman filtering. The last chapter gives a MATLAB® example on GNSS/INS integration for loosely and tightly coupled and includes code.
The most complete book on GNSS/INS is our latest book Global Navigation Satellite Systems, Inertial Navigation and Integration, the 3rd edition of which was released in February 2013. Fundamental concepts of inertial navigation are covered in Chapters 1, 3, 10, and 11. More advanced GNSS/INS integration is covered in Chapter 12 with software in MATLAB®.
Additional qualified comments on Kalman Filtering Theory & Practice--see Dr. John L. Weatherwax [...] [...]
[...] (about the 1st edition)
Global Navigation Satellite Systems, Inertial Navigation, and Integration
The added chapter on GPS+INS navigation added in this book is not thorough enough to be practically useful, but may serve as interest reading.
For an author that has such a supposedly long history of experience, the book that bears his name is a pale shadow of that produced by much less "experienced" authors such as the excellent Paul D. Groves book "Principles of GNSS, Inertial, and Multisensor Integrated Navigation Systems", or the competent "Aided Navigation: GPS with high rate sensors by Jay Farrell".
Do not buy this book as a practical guide to making a working sensor fusion system.
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