Optimal State Estimation: Kalman, H Infinity, and Nonlinear Approaches
| Author | : | |
| Rating | : | 4.70 (720 Votes) |
| Asin | : | 0471708585 |
| Format Type | : | paperback |
| Number of Pages | : | 552 Pages |
| Publish Date | : | 2017-08-24 |
| Language | : | English |
DESCRIPTION:
A bottom-up approach that enables readers to master and apply the latest techniques in state estimation This book offers the best mathematical approaches to estimating the state of a general system. While there are other textbooks that treat state estimation, this one offers special features and a unique perspective and pedagogical approach that speed learning: * Straightforward, bottom-up approach begins with basic concepts and then builds step by step to more advanced topics for a clear understanding of state estimation * Simple examples and problems that require only paper and pen to solve lead to an intuitive understanding of how theory works in practice * MATLAB(r)-based source code that corresponds to examples in the book, available on the author's Web site, enables readers to recreate results and experiment with other simulation setups and parameters Armed with a solid foundation in the basics, readers are presented with a careful treatment of advanced topics, including unscented filtering, high order nonlin
Good over all book with plenty of proofs P. Abeles Overall I found the book to be very well written with plenty of proofs, which I really like. In the sections that I looked at (with one exception) I did not find any errors. For the more recent material, towards the end, I would highly recommend looking at the original papers in addition to what's in the book. Out of necessity some things are glossed over.. Excellent for a newcomer T. Driver This book relates control theory elegantly, to those with a scientific background, but not much control theory history. Dan uses well laid out algorithmic approaches, suitable for programming, and examples to explain the details and show the complexities in action. I especially like the non-linear filtering chapters, and the comparison s between the Kalman. Waseem said A very good book, written well for independent study. I am a researcher and my background is in estimation, prediction modeling, and inferential models/methods. I found this book easy to follow (partly because of my background) in writing style.The book is true to the title and focuses on Kalman filter from several different perspectives (properties, implementation, modifications, etc.)I am still reading the
Simon spent fourteen years working for such firms as Boeing, TRW, and several smaller companies. . Prior to this appointment, Dr. DAN SIMON, PhD, is an Associate Professor at Cleveland State University
"This book is obviously written with care and reads very easily. A very valuable resource for students, teachers, and practitioners…highly recommended." (CHOICE, February 2007) "The dozens of helpful step-by-step examples, visual illustrations, and lists of exercises proposed at the end of each chapter significantly facilitate a reader's understanding of the book's content." (Computing Reviews, December 4, 2006)