Fast Solution of High Stochastic Dimensional EM Problems Using Proper Orthogonal Decomposition

Gladwin, KTJ and Vinoy, KJ (2022) Fast Solution of High Stochastic Dimensional EM Problems Using Proper Orthogonal Decomposition. In: IEEE Microwave and Wireless Components Letters, 32 (6). pp. 483-486.

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Abstract

Electromagnetic (EM) systems are prone to parameter variations and their impact help in predictive analysis. In this letter, proper orthogonal decomposition is proposed as a fast uncertainty quantification method, which can efficiently handle a large number of stochastic parameters, without any restriction on the levels of variations. The performance of the approach is evaluated in a frequency domain stochastic EM problem employing vector finite element method and having permittivity variations. The computational time increases by only 15 even with a fivefold increase in the stochastic variables. © 2001-2012 IEEE.

Item Type:	Journal Article
Publication:	IEEE Microwave and Wireless Components Letters
Publisher:	Institute of Electrical and Electronics Engineers Inc.
Additional Information:	The copyright for this article belongs to the Institute of Electrical and Electronics Engineers Inc.
Keywords:	Computational electromagnetics; Frequency domain analysis; Method of moments; Principal component analysis; Random processes; Singular value decomposition; Stochastic models; Stochastic systems; Uncertainty analysis, Computational electromagnetic; Electromagnetics; Finite element method; Material variation; Matrix decomposition; Reduced order modelling; Reduced-order model; Singular value decomposition; Stochastic electromagnetic; Stochastics; Transmission line matrix methods; Uncertainty; Uncertainty quantification.; Uncertainty quantifications, Finite element method
Department/Centre:	Division of Electrical Sciences > Electrical Communication Engineering
Date Deposited:	21 Sep 2022 10:10
Last Modified:	21 Sep 2022 10:10
URI:	https://eprints.iisc.ac.in/id/eprint/76712

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