Optimal Estimation of Dynamic Systems
By addebook • Jul 14th, 2008 • Category: Mathematics •
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Optimal Estimation of Dynamic Systems (Chapman & Hall/Crc Applied Mathematics & Nonlinear Science)
Optimal Estimation of Dynamic Systems (Chapman & Hall/Crc Applied Mathematics & Nonlinear Science)
By John L. Crassidis, John L. Junkins
Publisher: Chapman & Hall/CRC
Number Of Pages: 608
Publication Date: 2004-04-23
ISBN-10 / ASIN: 158488391X
ISBN-13 / EAN: 9781584883913
Binding: Hardcover
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.
Summary: Outstanding inclusive text on estimation theory!
Rating: 5
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.
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