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
Details
- Publication Date
- Jun 13, 2007
- Language
- English
- Category
- Engineering
- Copyright
- All Rights Reserved - Standard Copyright License
- Contributors
- By (author): Brian Sipos
Specifications
- Pages
- 177
- Binding Type
- Hardcover Case Wrap
- Interior Color
- Color
- Dimensions
- US Letter (8.5 x 11 in / 216 x 279 mm)