Optimal estimation of dynamic systems

"Optimal Estimation of Dynamic Systems, Second Edition highlights the importance of both physical and numerical modeling in solving dynamics-based estimation problems found in engineering systems. 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. Different approaches are often compared to show their absolute and relative utility. The authors also offer prototype algorithms to stimulate the development and proper use of efficient computer programs. MATLAB℗ʼ 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. It incorporates new theoretical results, an entirely new chapter on advanced sequential state estimation, and additional examples and exercises. 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. It also illustrates the application of the theory to real-world situations, such as spacecraft attitude determination, GPS navigation, orbit determination, and aircraft tracking"-- "Preface THIS text is designed to introduce the fundamentals of estimation to engineers, scientists, and applied mathematicians. This text is a rewriting of the first edition written by the current authors in 2004, which was the follow-on to the original estimation book by the second author in 1978. The current text expands upon the past treatment to provide more comprehensive developments and updates, including new theoretical results in the area. It includes over 100 pages of new material, which are mostly devoted to an entirely new chapter on advanced sequential state estimation. Several new examples and exercises have been added as well. The level of the presentation should be accessible to senior undergraduate and first-year graduate students, and should prove especially well-suited as a self study guide for practicing professionals. The primary motivation of this text is to make a significant contribution toward minimizing the painful process most newcomers must

שנה

2011

שפה

English

סדרה

Chapman & Hall/CRC applied mathematics & nonlinear science -- 24

הוצאה

Chapman and Hall/CRC

מהדורות

1

עמודים

749

ISBN

9781439839850

מקור הנתונים: Wikidata