Comparison of stochastic reduced order model and stochastic collocation methods for the sensitivity analysis of crosstalk

Fei, Zhouxiang and Huang, Yi and Zhou, Jiafeng and Song, Chaoyun (2019) Comparison of stochastic reduced order model and stochastic collocation methods for the sensitivity analysis of crosstalk. In: Tenth International Conference on Computational Electromagnetics (CEM 2019), 19-20 June 2019, Edinburgh.

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Abstract

Sensitivity analysis is a crucial tool to reduce the randomness dimension of stochastic problems, thus to reduce computation cost. However, the efficacy of different stochastic methods for sensitivity analysis was totally missing. Therefore, two popular stochastic methods, i.e., the stochastic reduced order model (SROM) and stochastic collocation (SC) methods, are performed to analyse crosstalk sensitivity to different cable variables. The Monte-Carlo (MC) method is used as the reference. Both the SROM and SC methods are shown to be much more efficient by orders of magnitude compared with the MC method. The result also shows that the SROM performance is not as remarkable as that of the SC method in terms of efficiency. As a result, the SC method could be recommended as a promising efficient approach for sensitivity analysis in stochastic electromagnetic compatibility (EMC) problems.

Item Type:	Conference or Workshop Item (Paper)
Faculty / Department:	Faculty of Human and Digital Sciences > School of Computer Science and the Environment
SWORD Depositor:	eprints api
Depositing User:	eprints api
Date Deposited:	19 Feb 2025 12:03
Last Modified:	19 Feb 2025 12:03
URI:	https://hira.hope.ac.uk/id/eprint/4577

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