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商品の説明
内容説明
This book provides readers with a solid introduction to the theoretical and practical aspects of Kalman filtering. It 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.
Note: CD-ROM/DVD and other supplementary materials are not included as part of eBook file.
Book Description
". . . 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.
--このテキストは、絶版本またはこのタイトルには設定されていない版型に関連付けられています。
"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.
--このテキストは、絶版本またはこのタイトルには設定されていない版型に関連付けられています。
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カスタマーレビュー
Amazon.com で最も参考になったカスタマーレビュー (beta)
Amazon.com:
3件のカスタマーレビュー
56 人中、52人の方が、｢このレビューが参考になった｣と投票しています。
Kalman what???
2002/11/27
形式:ハードカバー|Amazonが確認した購入
I have to say this is a strange book on Kalman filtering - the structure of the book is probably as incoherent as the presentation. It is not a good book for a student wishing to learn Kalman Filtering and how to adapt it to practical problems.
I think the authors assume that the readers all know about Kalman filters and as far as introductions are concerned, only need to know the history of it. Indeed it is not until chapter 4.2 that you get any acknowledgement of the actual filter the rest of the book is peripheral information that would apply if you were a seasoned Kalman Filter expert.
The weird thing is that anyone with a detailed knowledge of Kalman Filtering would certainly know everything there was to know about matrix algebra, and so Appendix B has a tutorial or refresher on matrix forms - weird.
The notation also appears non standard and there are many sections where equation variables are not well explained and the examples very obsure and the premable non existent.
This is not a good book for any one wishing to either familiarise themselves with Kalman filtering - there is some good information in this but it is not a text book by any stretch of the imagination.
22 人中、22人の方が、｢このレビューが参考になった｣と投票しています。
Not enough examples...
2004/3/19
形式:ハードカバー
This book is difficult to understand due to the lack of simple examples to illustrate keep points as they are introduced.
There are a few examples in each chapter, however the authors skip too many steps and make you constantly flip around in the book to review previous examples upon which he bases the new examples. The end result is just wasteful trashing by the student.
This is a good book, but it does't have enough textbook examples to be used for an intro class in Kalam filtering.
Maybe this book would be useful as a secondary reference for a person that already knows Kalman filtering.
29 人中、5人の方が、｢このレビューが参考になった｣と投票しています。
Most useful text on the subject
2002/12/3
形式:ハードカバー
I have been working with "Kalman Fitering, ... Using Matlab",
2nd Edition, for several weeks, and I must tell you it is by far the
most useful text on the subject.
2nd Edition, for several weeks, and I must tell you it is by far the
most useful text on the subject.
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ご意見はクチコミでお聞かせください。
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