scholarly journals On the Interpolation of Reduced-Order Models

Author(s):  
Yao Yue ◽  
Lihong Feng ◽  
Peter Benner

A parametric model-order reduction method based on interpolation of reduced-order models, namely the pole-matching method, is proposed for linear systems in the frequency domain. It captures the parametric dynamics of the system by interpolating the positions and amplitudes of the poles. The pole-matching method relies completely on the reduced-order models themselves, regardless of how they are built. It is able to deal with many parameters as well as complicated parameter dependency. Numerical results show that the proposed pole-matching method gives accurate results even when it interpolates two reduced-order models of completely different nature, one computed by a projection-based method and the other computed by a data-driven method.

Meccanica ◽  
2017 ◽  
Vol 53 (1-2) ◽  
pp. 49-75 ◽  
Author(s):  
Niccolò Cappellini ◽  
Tommaso Tamarozzi ◽  
Bart Blockmans ◽  
Jakob Fiszer ◽  
Francesco Cosco ◽  
...  

2019 ◽  
Vol 347 ◽  
pp. 622-638 ◽  
Author(s):  
Julian Kochmann ◽  
Kiran Manjunatha ◽  
Christian Gierden ◽  
Stephan Wulfinghoff ◽  
Bob Svendsen ◽  
...  

2011 ◽  
Vol 47 (5) ◽  
pp. 1534-1537 ◽  
Author(s):  
Christian Scheiber ◽  
Alwin Schultschik ◽  
Oszkár Biro ◽  
Romanus Dyczij-Edlinger

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