| Optimal Estimation of Dynamic Systems (Chapman & Hall/CRC Applied Mathematics & Nonlinear Science) |  | Authors: John L. Crassidis, John L. Junkins Publisher: Chapman and Hall/CRC Category: Book
List Price: $157.95 Buy New: $112.54 as of 2/9/2012 12:59 CST details You Save: $45.41 (29%)
New (5) Used (4) from $58.99
Seller: Amazon.com Sales Rank: 1,333,776
Languages: English (Unknown), English (Original Language), English (Published) Media: Hardcover Edition: 1 Pages: 608 Number Of Items: 1 Shipping Weight (lbs): 2.2 Dimensions (in): 9.5 x 6.3 x 1.4
ISBN: 158488391X EAN: 9781584883913 ASIN: 158488391X
Publication Date: April 23, 2004 Shipping: Eligible for FREE Super Saver Shipping Availability: Usually ships in 24 hours
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Product Description Most newcomers to the field of linear stochastic estimation go through a difficult process in understanding and applying the theory.This book minimizes the process while introducing the fundamentals of optimal estimation.
Optimal Estimation of Dynamic Systems explores topics that are important in the field of control where the signals received are used to determine highly sensitive processes such as the flight path of a plane, the orbit of a space vehicle, or the control of a machine. The authors use dynamic models from mechanical and aerospace engineering to provide immediate results of estimation concepts with a minimal reliance on mathematical skills. The book documents the development of the central concepts and methods of optimal estimation theory in a manner accessible to engineering students, applied mathematicians, and practicing engineers. It includes rigorous theoretial derivations and a significant amount of qualitiative discussion and judgements. It also presents prototype algorithms, giving detail and discussion to stimulate development of efficient computer programs and intelligent use of them.
This book illustrates the application of optimal estimation methods to problems with varying degrees of analytical and numercial difficulty. It compares various approaches to help develop a feel for the absolute and relative utility of different methods, and provides many applications in the fields of aerospace, mechanical, and electrical engineering.
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