Chen, X., Molina-Cristobal, A. , Guenov, M. D., Datta, V. C. and Riaz, A. (2018) A novel method for inverse uncertainty propagation. In: Advances in Evolutionary and Deterministic Methods for Design, Optimization and Control in Engineering and Sciences. Series: Computational methods in applied sciences, 48. Springer: Cham, pp. 353-370. (doi: 10.1007/978-3-319-89988-6_21)
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Abstract
Proposed is a novel method for inverse uncertainty propagation, ultimately aiming to facilitate the wider uncertainty allocation problem. The approach is enabled by techniques for the reversal of computational workflows and for the efficient propagation of uncertainty. The method is validated with analytical and numerical examples. Also a representative aircraft sizing code is used to illustrate the application in a more realistic setting.
| Item Type: | Book Sections |
|---|---|
| Status: | Published |
| Refereed: | Yes |
| Glasgow Author(s) Enlighten ID: | Molina-Cristobal, Dr Arturo |
| Authors: | Chen, X., Molina-Cristobal, A., Guenov, M. D., Datta, V. C., and Riaz, A. |
| College/School: | College of Science and Engineering |
| Journal Name: | Advances in Evolutionary and Deterministic Methods for Design, Optimization and Control in Engineering and Sciences. Computational Methods in Applied Sciences |
| Publisher: | Springer |
| ISSN: | 1871-3033 |
| Published Online: | 03 July 2018 |
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