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.
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