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 |
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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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