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Efficient multidimensional uncertainty quantification of high speed circuits using advanced polynomial chaos approaches

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dc.contributor.authorAhadi Dolatsara, Majid, author
dc.contributor.authorRoy, Sourajeet, advisor
dc.contributor.authorNotaros, Branislav, committee member
dc.contributor.authorAnderson, Chuck, committee member
dc.contributor.authorPezeshki, Ali, committee member
dc.date.accessioned2016-08-18T23:10:23Z
dc.date.available2016-08-18T23:10:23Z
dc.date.issued2016
dc.description.abstractWith the scaling of VLSI technology to sub-45 nm levels, uncertainty in the nanoscale manufacturing processes and operating conditions have been found to result in unpredictable circuit behavior at the chip, package, and board levels of modern integrated microsystems. Hence, modeling the forward propagation of uncertainty from the device-level parameters to the system-level response of high-speed circuits and systems forms a crucial requirement of modern computer-aided design (CAD) tools. This thesis presents novel approaches based on the generalized polynomial chaos (gPC) theory for the efficient multidimensional uncertainty quantification of general distributed and lumped high-speed circuit networks. The key feature of this work is the development of approaches which are more efficient and/or accurate comparing to recently suggested uncertainty quantification approaches in the literature. Main contributions of this thesis are development of two individual approaches for improvement of the conventional linear regression uncertainty quantification approach, and development of a sparse polynomial expansion of the stochastic response in an uncertain system. The validity of this work is established through multiple numerical examples.
dc.format.mediumborn digital
dc.format.mediummasters theses
dc.identifierAhadiDolatsara_colostate_0053N_13762.pdf
dc.identifier.urihttp://hdl.handle.net/10217/176722
dc.languageEnglish
dc.language.isoeng
dc.publisherColorado State University. Libraries
dc.relation.ispartof2000-2019
dc.rightsCopyright and other restrictions may apply. User is responsible for compliance with all applicable laws. For information about copyright law, please see https://libguides.colostate.edu/copyright.
dc.subjecthigh speed circuits
dc.subjectpolynomial chaos
dc.subjectuncertainty quantification
dc.subjectlinear regression
dc.subjectcomputer aided design
dc.subjectsignal integrity
dc.titleEfficient multidimensional uncertainty quantification of high speed circuits using advanced polynomial chaos approaches
dc.typeText
dcterms.rights.dplaThis Item is protected by copyright and/or related rights (https://rightsstatements.org/vocab/InC/1.0/). You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s).
thesis.degree.disciplineElectrical and Computer Engineering
thesis.degree.grantorColorado State University
thesis.degree.levelMasters
thesis.degree.nameMaster of Science (M.S.)

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