@inproceedings{8b7ede30b21d4fa7a09ee64b5c6c58d0,
title = "Derivative based global sensitivity analysis using conjugate unscented transforms",
abstract = "In this paper, a novel way to compute derivative-based global sensitivity measures is presented. Conjugate Unscented Transform (CUT) is used to evaluate the multidimensional definite integrals which lead to the sensitivity measures. The method is compared with Monte Carlo estimates as well as the screening method of Morris. It is shown that using CUT provides a much more accurate estimate of sensitivity measures as compared to Monte Carlo (with far lesser computational cost) as well as the Morris method (with similar computational cost). Illustrations on three test functions are presented as evidence.",
author = "Souransu Nandi and Tarunraj Singh and Puneet Singla",
note = "Funding Information: ACKNOWLEDGMENT This material is based upon work supported through National Science Foundation (NSF) under Awards No. CMMI-1537210. Publisher Copyright: {\textcopyright} 2019 American Automatic Control Council. Copyright: Copyright 2020 Elsevier B.V., All rights reserved.; 2019 American Control Conference, ACC 2019 ; Conference date: 10-07-2019 Through 12-07-2019",
year = "2019",
month = jul,
doi = "10.23919/acc.2019.8815110",
language = "English (US)",
series = "Proceedings of the American Control Conference",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "2458--2463",
booktitle = "2019 American Control Conference, ACC 2019",
address = "United States",
}