Model order reduction
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The objective of our study is to assess the effectiveness and efficiency of PRBT and IRKA in reducing the complexity of circuit models while retaining essential system characteristics. By systematically analyzing and comparing the outcomes of these algorithms, we aim to provide insights into their applicability and suitability for practical engineering applications.
7p 
viling
11-10-2024
2
1
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The paper explores the application of the Modal Truncation algorithm in Model Order Reduction, focusing on its effectiveness in reducing high-dimensional mathematical model. The algorithm identifies dominant modes governing dynamic responses, discards the high-order model, and reconstructs a new model with reduced dimensions.
6p viengfa
28-10-2024
5
2
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In this paper, a proper orthogonal decomposition based reduced-order model is presented for parametrized multiphysics computations. Our application physics is Doppler feedback in a simplified model of the molten salt fast reactor concept.
9p christabelhuynh
29-05-2020
7
1
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