scholarly journals Model Order Reduction of a Modular Scale Model of a High Rise Building

PAMM ◽  
2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Nadine Walker ◽  
Peter Eberhard
Energies ◽  
2018 ◽  
Vol 11 (1) ◽  
pp. 254 ◽  
Author(s):  
Xiaoxiao Meng ◽  
Qianggang Wang ◽  
Niancheng Zhou ◽  
Shuyan Xiao ◽  
Yuan Chi

2019 ◽  
Vol 67 (8) ◽  
pp. 648-667 ◽  
Author(s):  
Jens Saak ◽  
Dirk Siebelts ◽  
Steffen W. R. Werner

Abstract In order to apply control theory in small autonomous vehicles, mathematical models with small numbers of states are required for using the limited computational power in embedded programming. In this paper, we consider an artificial fishtail as an example for a complex mechanical system with a second-order large-scale model, which is derived by using the finite element method. To meet the above limitations, the several hundreds of thousands of degrees of freedom need to be reduced to merely a handful of surrogate degrees of freedom. We seek to achieve this task by various second-order model order reduction methods. All methods are applied on the fishtail’s matrices and their results are evaluated and compared in the frequency domain as well as in the time domain.


Author(s):  
Vladimir Lantsov ◽  
A. Papulina

The new algorithm of solving harmonic balance equations which used in electronic CAD systems is presented. The new algorithm is based on implementation to harmonic balance equations the ideas of model order reduction methods. This algorithm allows significantly reduce the size of memory for storing of model equations and reduce of computational costs.


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