International audienceIn this paper, we adopt the so-called sparse polynomial chaos metamodel for the uncertainty quantification in the framework of high-dimensional problems. This metamodel is used to model a realistic electronic bus structure with a large number of uncertain input parameters such as those related to microstrip line geometries. It aims at estimating quantities of interest, such as statistical moments, probability density functions and provides sensitivity analysis of a response. It drastically reduces the model computational cost with regard to brute force MC simulation. The method presents a good performance and is validated in comparison with MC simulation. Index Terms-Circuit design, crosstalk, discontinu-ities, high di...
© 2015 IEEE. Electrical machines that are produced in mass production suffer from stochastic deviati...
International audienceThis paper deals with the uncertainty quantification applied to the analysis o...
This paper addresses the simulation of the effects on a high-speed data link of external factors due...
International audienceIn this paper, we adopt the so-called sparse polynomial chaos metamodel for th...
International audienceThis communication deals with the uncertainty quantification in high dimension...
International audience—This paper deals with uncertainty propagation applied to the analysis of cros...
This paper presents a metamodel based on the sparse polynomial chaos approach, well adapted to high ...
This paper deals with uncertainty propagation applied to the analysis of crosstalk in printed circui...
© 2020 Elsevier Inc. All rights reserved. In the past decade, uncertainty quantification (UQ) has re...
This paper presents an alternative modeling strategy for the stochastic analysis of high-speed inter...
Uncertainty exists widely in engineering design. As one of the key components of engineering design,...
In this chapter, we provide a collection of diverse applications of the polynomial chaos expansion ...
Advances in manufacturing process technology are key ensembles for the production of integrated circ...
© 2015 IEEE. Electrical machines that are produced in mass production suffer from stochastic deviati...
International audienceThis paper deals with the uncertainty quantification applied to the analysis o...
This paper addresses the simulation of the effects on a high-speed data link of external factors due...
International audienceIn this paper, we adopt the so-called sparse polynomial chaos metamodel for th...
International audienceThis communication deals with the uncertainty quantification in high dimension...
International audience—This paper deals with uncertainty propagation applied to the analysis of cros...
This paper presents a metamodel based on the sparse polynomial chaos approach, well adapted to high ...
This paper deals with uncertainty propagation applied to the analysis of crosstalk in printed circui...
© 2020 Elsevier Inc. All rights reserved. In the past decade, uncertainty quantification (UQ) has re...
This paper presents an alternative modeling strategy for the stochastic analysis of high-speed inter...
Uncertainty exists widely in engineering design. As one of the key components of engineering design,...
In this chapter, we provide a collection of diverse applications of the polynomial chaos expansion ...
Advances in manufacturing process technology are key ensembles for the production of integrated circ...
© 2015 IEEE. Electrical machines that are produced in mass production suffer from stochastic deviati...
International audienceThis paper deals with the uncertainty quantification applied to the analysis o...
This paper addresses the simulation of the effects on a high-speed data link of external factors due...