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Conference Paper: Uncertainty Quantification of EM-Circuit Systems Using Stochastic Polynomial Chaos Method

TitleUncertainty Quantification of EM-Circuit Systems Using Stochastic Polynomial Chaos Method
Authors
Issue Date2014
PublisherI E E E.
Citation
The IEEE International Symposium on Electromagnetic Compatibility (EMC 2014), Raleigh, North Carolina, USA, 4-8 August 2014. In International Symposium on Electromagnetic Compatibility Proceedings, 2014, p. 872-877 How to Cite?
AbstractUncertainties in realistic lumped and distributive circuit systems are of great importance to today's high yield manufacture demand. However, evaluating the stochastic effect in the time domain for the hybrid electromagnetics (EM)-circuit system was seldom done, especially when Monte Carlo is too expensive to be feasible. In this work, an adaptive hierarchical sparse grid collocation (ASGC) method is presented to quantify the impacts of stochastic inputs on hybrid electromagnetics (EM)-circuit or EM scattering systems. The ASGC method approximates the stochastic observables of interest using interpolation functions over series collocation points. Instead of employing a full-tensor product sense, the collocation points in ASGC method are hierarchically marched with interpolation depth based upon Smolyaks construction algorithm. To further reduce the collocation points, an adaptive scheme is employed by using hierarchical surplus of each collocation point as the error indicator. With the proposed method, the number of collocation points is significantly deduced. To verify the effectiveness and robustness of the proposed stochastic solver, hybrid EM-circuit systems are quantified by a full-wave EM-circuit simulator based upon discontinuous Galerkin time domain (DGTD) method and modified nodal analysis (MNA). The time domain influences of uncertainty inputs such as geometrical information and electrical material properties are thereby benchmarked and demonstrated through this paper.
DescriptionTechnical Paper - TH-PM-1 TC9 Numerical Modeling Approaches
Persistent Identifierhttp://hdl.handle.net/10722/204027
ISBN

 

DC FieldValueLanguage
dc.contributor.authorLi, Pen_US
dc.contributor.authorJiang, Len_US
dc.date.accessioned2014-09-19T20:01:40Z-
dc.date.available2014-09-19T20:01:40Z-
dc.date.issued2014en_US
dc.identifier.citationThe IEEE International Symposium on Electromagnetic Compatibility (EMC 2014), Raleigh, North Carolina, USA, 4-8 August 2014. In International Symposium on Electromagnetic Compatibility Proceedings, 2014, p. 872-877en_US
dc.identifier.isbn9781479955442-
dc.identifier.urihttp://hdl.handle.net/10722/204027-
dc.descriptionTechnical Paper - TH-PM-1 TC9 Numerical Modeling Approaches-
dc.description.abstractUncertainties in realistic lumped and distributive circuit systems are of great importance to today's high yield manufacture demand. However, evaluating the stochastic effect in the time domain for the hybrid electromagnetics (EM)-circuit system was seldom done, especially when Monte Carlo is too expensive to be feasible. In this work, an adaptive hierarchical sparse grid collocation (ASGC) method is presented to quantify the impacts of stochastic inputs on hybrid electromagnetics (EM)-circuit or EM scattering systems. The ASGC method approximates the stochastic observables of interest using interpolation functions over series collocation points. Instead of employing a full-tensor product sense, the collocation points in ASGC method are hierarchically marched with interpolation depth based upon Smolyaks construction algorithm. To further reduce the collocation points, an adaptive scheme is employed by using hierarchical surplus of each collocation point as the error indicator. With the proposed method, the number of collocation points is significantly deduced. To verify the effectiveness and robustness of the proposed stochastic solver, hybrid EM-circuit systems are quantified by a full-wave EM-circuit simulator based upon discontinuous Galerkin time domain (DGTD) method and modified nodal analysis (MNA). The time domain influences of uncertainty inputs such as geometrical information and electrical material properties are thereby benchmarked and demonstrated through this paper.-
dc.languageengen_US
dc.publisherI E E E.-
dc.relation.ispartofInternational Symposium on Electromagnetic Compatibility Proceedingsen_US
dc.rightsInternational Symposium on Electromagnetic Compatibility Proceedings. Copyright © I E E E.-
dc.rights©2014 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.-
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.titleUncertainty Quantification of EM-Circuit Systems Using Stochastic Polynomial Chaos Methoden_US
dc.typeConference_Paperen_US
dc.identifier.emailJiang, L: jianglj@hku.hken_US
dc.identifier.authorityJiang, L=rp01338en_US
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.1109/ISEMC.2014.6899090-
dc.identifier.hkuros236316en_US
dc.identifier.spage872-
dc.identifier.epage877-
dc.publisher.placeUnited States-

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