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Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/16709
Title: Accurate polynomial chaos expansion for variability analysis using optimal design of experiments
Authors: Prasad A.K.
Ahadi M.
Thakur B.S.
Roy S.
Published in: Proceedings of 2015 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization, NEMO 2015
Abstract: This paper presents a novel generalized polynomial chaos approach for quantifying the uncertainty in high-speed networks arising from random variations in the circuit parameters. The key feature of this work is the development of a non-intrusive linear regression methodology that is able to accurately evaluate the polynomial chaos coefficients using only a sparse set of nodes located within the multidimensional random space. These non-intrusive regression nodes are extracted using an optimized design of experiments (DoEs) approach based on the concepts of exchange algorithms and D-optimality criteria commonly applied in the field of estimation theory. © 2015 IEEE.
Citation: Proceedings of 2015 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization, NEMO 2015, (2016)
URI: https://doi.org/10.1109/NEMO.2015.7415055
http://repository.iitr.ac.in/handle/123456789/16709
Issue Date: 2016
Publisher: Institute of Electrical and Electronics Engineers Inc.
Keywords: Design of experiments
information matrix
linear regression
optimization theory
polynomial chaos
ISBN: 9.78E+12
Author Scopus IDs: 56723412600
56702857400
57188865084
55364099700
Author Affiliations: Prasad, A.K., Department of Electrical and Computer Engineering, Colorado State University, Fort Collins, CO 80253, United States
Ahadi, M., Department of Electrical and Computer Engineering, Colorado State University, Fort Collins, CO 80253, United States
Thakur, B.S., Department of Electrical and Computer Engineering, Colorado State University, Fort Collins, CO 80253, United States
Roy, S., Department of Electrical and Computer Engineering, Colorado State University, Fort Collins, CO 80253, United States
Appears in Collections:Conference Publications [ECE]

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