matrix interpolation
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2021 ◽  
Vol 36 (7) ◽  
pp. 928-934
Author(s):  
Wei Kong ◽  
Xiao Yang ◽  
Feng Zhou ◽  
Jia Xie ◽  
Chuan Chen ◽  
...  

In this paper, a new method is proposed to analyze the broadband electromagnetic characteristics of electrically large targets by combining the precorrected-FFT algorithm (P-FFT) with the near-field matrix interpolation technique. The proposed method uses the precorrected-FFT algorithm to reduce the storage and accelerate the matrix vector product of the far field. In order to make the precorrected-FFT algorithm can calculate the broadband characteristics of electrically large targets more quickly, the matrix interpolation method is used to interpolate the near-field matrix of the precorrected-FFT algorithm to improve the efficiency of calculation. The numerical results obtained validate the proposed method and its implementation in terms of accuracy and runtime performance.


2021 ◽  
Vol 172 ◽  
pp. 465-476
Author(s):  
Quang Hung Pham ◽  
Martin Gagnon ◽  
Jérôme Antoni ◽  
Antoine Tahan ◽  
Christine Monette

2021 ◽  
Vol 47 (3) ◽  
Author(s):  
Peter Benner ◽  
Serkan Gugercin ◽  
Steffen W. R. Werner

AbstractIn this paper, we extendthe structure-preserving interpolatory model reduction framework, originally developed for linear systems, to structured bilinear control systems. Specifically, we give explicit construction formulae for the model reduction bases to satisfy different types of interpolation conditions. First, we establish the analysis for transfer function interpolation for single-input single-output structured bilinear systems. Then, we extend these results to the case of multi-input multi-output structured bilinear systems by matrix interpolation. The effectiveness of our structure-preserving approach is illustrated by means of various numerical examples.


2020 ◽  
Vol 69 (5) ◽  
pp. 4677-4688
Author(s):  
Charles Jeon ◽  
Zequn Li ◽  
Christoph Studer

Author(s):  
Yi Qing Xiao ◽  
Stefano Grivet-Talocia ◽  
Paolo Manfredi ◽  
Roni Khazaka
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2019 ◽  
Vol 23 (1) ◽  
pp. 228-232
Author(s):  
F. Asma

Abstract In this paper, an iterative finite element model updating method in structural dynamics is proposed. This uses information matrices and element connectivity matrices to reconstruct the corrected model by reproducing the frequency response at measured degrees of freedom. Indicators have been proposed to quantify the mismodelling errors based on a development in Lagrange matrix interpolation. When applied on simulated truss structures, the model gives satisfactory results by detecting and quantifying the defaults of the initial model.


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