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System ID of Small Aircraft Using MC-UKF

eBook (PDF), 177 Pages
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This work is the result of a MSEE project at the Rochester Institute of Technology. The topic is performing system identification on super-light unmanned aircraft using a novel filter based on the unscented transform, Riemannian manifold calculus, and Kalman-type filtering on a high-order state. Please check for documentation errors at http://edge.rit.edu/content/P07897/public/Report%20Errata
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Product Details

Publisher
Brian Sipos
Published
September 30, 2011
Language
English
Pages
177
File Format
PDF
File Size
24.7 MB

Formats for this Ebook

PDF
Required Software Any PDF Reader, Apple Preview
Supported Devices Windows PC/PocketPC, Mac OS, Linux OS, Apple iPhone/iPod Touch... (See More)
# of Devices Unlimited
Flowing Text / Pages Pages
Printable? Yes
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