Optimal Estimation of Dynamic Systems, Second Edition (Chapman & Hall/CRC Applied Mathematics & Nonlinear Science)
| Author | : | |
| Rating | : | 4.37 (525 Votes) |
| Asin | : | 1439839859 |
| Format Type | : | paperback |
| Number of Pages | : | 749 Pages |
| Publish Date | : | 2016-04-07 |
| Language | : | English |
DESCRIPTION:
Outstanding inclusive text on estimation theory! Kim,Jong-Woo It presents the fundamentals of state estimation theory and the tools for the design of state-of-the-art algorithms for navigation and tracking, vehicle attitude determination. There is a lot of material that is covered by this book. The examples are well presented and they really help you when working on the problems at the end of each chapter. Also, computer routines for all the examples shown in the text can be accessed. I have to say that this is an excellent book for estimation of dynamic systems.. Excellent Chapters on Kalman Filtering N. Huff I particularly enjoyed this book's introduction to the Kalman filter. Nothing I had ever read before could really give me a good "feel" for how the Kalman filter works and what it is actually doing when it is forming an estimate. The book's approach for introducing the KF is to first give a review of least mean squares estimation. Every engineering student (and a lot of students of other subjects) has used least mean squares. It is just basic curve fitting. It then goes on to describe weighted least mean squares curve fitting, which is just least mean squares with "weights" assigned to individual measurements based . Very readable, well written; requires strong math skills Brian Vandenberg I'm a computer science & applied math graduate (undergrad) working as a computer scientist. I'm studying these and other topics in my spare time, not for grad school (at least, not yet). I love this book, and I'm thoroughly impressed with how well it is written. It is the first book I've read with more than a brief treatment of calculus concepts in tandem with linear algebra (eg, derivatives with respect to a vector or matrix, differential equations involving matrix expressions, etc). When reading some other books (eg, Haykin's Adaptive Filter Theory), I find myself staring blankly at pages, my thoughts drifting to
Different approaches are often compared to show their absolute and relative utility. Accessible to engineering students, applied mathematicians, and practicing engineers, the text presents the central concepts and methods of optimal estimation theory and applies the methods to problems with varying degrees of analytical and numerical difficulty. It also illustrates the application of the theory to real-world situations, such as spacecraft attitude determination, GPS navigation, orbit determination, and aircraft tracking.. An ideal self-study guide for practicing engineers as well as senior undergraduate and beginning graduate students, the book introduces the fundamentals of estimation and helps newcomers to understand the relationships between the estimation and modeling of dynamical systems. MATLAB® codes for the examples are available on the book’s website.New to the Second EditionWith more than 100 pages of new material, this reorganized edition expands upon the best-selling original to include comprehensive developments and updates. The authors also offer prototype algorithms to stimulate the development and proper use of efficient computer programs. It incorporates new theoretical results, an entirely new chapter on advanced sequential state estimation, and addition
Junkins, Ph.D., is a distinguished professor of aerospace engineering and the founder and director of the Center for Mechanics and Control at Texas A&M University. Crassidis, Ph.D., is a professor of mechanical and aerospace engineering and the associate director of the Center for Multisource Information Fusion at the University at Buffalo, State University of New York. John L. Junki
43, No. Praise for the First EditionA nice feature of this book is that it makes the effort to explain the underlying principles behind the formula for each algorithm; the relationship between different algorithms is equally well addressed. It will also serve as a useful reference for graduate courses in control and estimation.AIAA Journal, Vol. It will be a valuable addition to references for academic researchers and industrial engineers working in the field of estimation. 1, January 2005 . … The text is a good combination of theory and practice