Kalman Filtering : Theory and Practice Using MATLAB
| Author | : | |
| Rating | : | 4.61 (508 Votes) |
| Asin | : | 0471392545 |
| Format Type | : | paperback |
| Number of Pages | : | 416 Pages |
| Publish Date | : | 2015-05-23 |
| Language | : | English |
DESCRIPTION:
Kalman what??? A Customer 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 th. Not enough examples A Customer 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.. Most useful text on the subject A Customer I have been working with "Kalman Fitering, Using Matlab",2nd Edition, for several weeks, and I must tell you it is by far themost useful text on the subject.
"This book could serve as an introduction to stochastic/random processespracticing engineers with enough mathematical background would appreciate this bookacademicians 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)
GREWAL, PhD, PE, is Professor of Electrical Engineering in the College of Engineering and Computer Science at California State University, Fullerton. ANGUS P. MOHINDER S. His experience with aerospace systems analysis and design using Kalman filters began with his involvement in the Apollo moon pro
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. "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."-, from a rev