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Item Details
Title: OPTIMAL ESTIMATION OF DYNAMIC SYSTEMS
By: John L. Crassidis, John L. Junkins
Format: Hardback

List price: £185.00
Our price: £166.50
Discount:
10% off
You save: £18.50
ISBN 10: 1439839859
ISBN 13: 9781439839850
Availability: Usually dispatched within 1-3 weeks.
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Publisher: TAYLOR & FRANCIS LTD
Pub. date: 26 October, 2011
Edition: 2nd Revised edition
Series: Chapman & Hall/CRC Applied Mathematics & Nonlinear Science 24
Pages: 749
Synopsis: 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(R) codes for the examples are available on the book's website. New to the Second Edition With 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.
Illustrations: 117 black & white illustrations, 40 black & white tables
Publication: US
Imprint: Chapman & Hall/CRC
Returns: Returnable
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