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International Journal of Aerospace Engineering
Volume 2015, Article ID 183712, 19 pages
http://dx.doi.org/10.1155/2015/183712
Research Article

A Comprehensive Probabilistic Framework to Learn Air Data from Surface Pressure Measurements

Ankur Srivastava1 and Andrew J. Meade2

1Massachusetts Institute of Technology, Cambridge, MA 02139, USA
2Rice University, Houston, TX 77005, USA

Received 11 May 2015; Revised 13 August 2015; Accepted 23 August 2015

Academic Editor: Christopher J. Damaren

Copyright © 2015 Ankur Srivastava and Andrew J. Meade. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to Cite this Article

Ankur Srivastava and Andrew J. Meade, “A Comprehensive Probabilistic Framework to Learn Air Data from Surface Pressure Measurements,” International Journal of Aerospace Engineering, vol. 2015, Article ID 183712, 19 pages, 2015. https://doi.org/10.1155/2015/183712.