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OverviewMost 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 qualitative discussion and judgements. It also presents prototype algorithms, giving detail and discussion to stimulate development of efficient computer programs and intelligent use of them.T his book illustrates the application of optimal estimation methods to prob; 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. Full Product DetailsAuthor: John L Crassidis (State University of New York-Buffalo, USA) , John L Junkins (Texas A&M University, College Station, USA)Publisher: Taylor & Francis Group Imprint: Taylor & Francis Group ISBN: 9781280375910ISBN 10: 1280375914 Publication Date: 27 April 2004 Audience: General/trade , General Format: Electronic book text Publisher's Status: Active Availability: Available To Order We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately. Table of ContentsReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |
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