Comparison of stochastic reduced order model and stochastic collocation methods for the sensitivity analysis of crosstalk
Comparison of stochastic reduced order model and stochastic collocation methods for the sensitivity analysis of crosstalk
- Author(s): Zhouxiang Fei ; Yi Huang ; Jiafeng Zhou ; Chaoyun Song
- DOI: 10.1049/cp.2019.0118
For access to this article, please select a purchase option:
Buy conference paper PDF
Buy Knowledge Pack
IET members benefit from discounts to all IET publications and free access to E&T Magazine. If you are an IET member, log in to your account and the discounts will automatically be applied.
Tenth International Conference on Computational Electromagnetics (CEM 2019) — Recommend this title to your library
Thank you
Your recommendation has been sent to your librarian.
- Author(s): Zhouxiang Fei ; Yi Huang ; Jiafeng Zhou ; Chaoyun Song Source: Tenth International Conference on Computational Electromagnetics (CEM 2019), 2019 page (5 pp.)
- Conference: Tenth International Conference on Computational Electromagnetics (CEM 2019)
- DOI: 10.1049/cp.2019.0118
- ISBN: 978-1-83953-066-1
- Location: Edinburgh, UK
- Conference date: 19-20 June 2019
- Format: PDF
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.
Inspec keywords: Monte Carlo methods; crosstalk; electromagnetic compatibility; stochastic processes; sensitivity analysis; reduced order systems
Subjects: Control system analysis and synthesis methods; Electromagnetic compatibility and interference; Monte Carlo methods; Monte Carlo methods; Telephony
Related content
content/conferences/10.1049/cp.2019.0118
pub_keyword,iet_inspecKeyword,pub_concept
6
6