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

2019 ◽  
Author(s):  
Zhouxiang Fei ◽  
Yi Huang ◽  
Jiafeng Zhou ◽  
Chaoyun Song
Keyword(s):  
Sensitivity Analysis ◽  
Reduced Order Model ◽  
Collocation Methods ◽  
Stochastic Collocation ◽  
Order Model ◽  
Reduced Order ◽  
Stochastic Collocation Methods

scholarly journals Sensitivity analysis to compute advanced stochastic problems in uncertain and complex electromagnetic environments

2012 ◽  
Vol 1 (3) ◽  
pp. 13 ◽  
Author(s):  
S. Lalléchère ◽  
B. Jannet ◽  
P. Bonnet ◽  
F. Paladian
Keyword(s):  
Sensitivity Analysis ◽  
Monte Carlo ◽  
Electromagnetic Compatibility ◽  
Collocation Methods ◽  
Stochastic Collocation ◽  
Unscented Transform ◽  
Analysis Techniques ◽  
Stochastic Problems ◽  
Stochastic Collocation Methods

This paper deals with the advanced integration of uncertainties in electromagnetic interferences (EMI) and electromagnetic compatibility (EMC) problems.   In this context,  the Monte Carlo formalism may provide a reliable reference to proceed to statistical assessments.   After all, other  less  expensive  and  efficient  techniques  have  been implemented more recently (the unscented transform and stochastic collocation methods for instance) and will be illustrated through uncertain EMC problems. Finally, we will present how the use of sensitivity analysis techniques may offer an efficient complement to rough statistical or stochastic studies.

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