A new frequency weighted Fourier-based method for model order reduction
M Rydel, R Stanisławski - Automatica, 2018 - Elsevier
This paper presents a new, analytically driven frequency weighted model order reduction
method. The method is grounded on the Fourier-based decomposition of a high-order state …
method. The method is grounded on the Fourier-based decomposition of a high-order state …
A generalised partial-fraction-expansion based frequency weighted balanced truncation technique
In this paper, we present some new results on a frequency weighted balanced truncation
technique based on well-known partial-fraction-expansion idea. The reduced order models …
technique based on well-known partial-fraction-expansion idea. The reduced order models …
A new frequency weighted model reduction technique using balanced singular perturbation approximation
In this paper a new frequency weighted model reduction algorithm is proposed which is
based on a combination of Wang et al's technique [14] and balanced singular perturbation …
based on a combination of Wang et al's technique [14] and balanced singular perturbation …
Frequency weighted model reduction using square-root balanced approach
M Kumar, RD Pal, D Kumar - 2014 Students Conference on …, 2014 - ieeexplore.ieee.org
In this paper, we propose a new frequency weighted order reduction algorithm which is an
extension of Sreeram's technique [13] in conjunction with square-root balanced truncation …
extension of Sreeram's technique [13] in conjunction with square-root balanced truncation …
[PDF][PDF] Singular value decomposition based model order reduction techniques
AJBH Mohideen - 2016 - research-repository.uwa.edu.au
Frequency weighted model reduction (FWMR) was originally developed by Enns [25] to
solve controller reduction problems. Controller reduction problems can be formulated as …
solve controller reduction problems. Controller reduction problems can be formulated as …
Partial Fraction Expansion Based Frequency Weighted Balanced Singular Perturbation Approximation Model Reduction Technique with Error Bounds
In this paper, a new frequency weighted partial fraction expansion based model reduction
technique is developed based on the partial fraction expansion approach. In order to further …
technique is developed based on the partial fraction expansion approach. In order to further …
Development Of model order reduction techniques
M Imran - 2014 - repository.pastic.gov.pk
Mathematical modeling is an essential feature for the analysis and design of a dynamical
system. Generally, large and complex models are obtained from physical systems. Some ex …
system. Generally, large and complex models are obtained from physical systems. Some ex …
An improved algorithm for partial fraction expansion based frequency weighted balanced truncation
In this paper, we present an improvement to frequency weighted balanced truncation
technique based on well-known partial fraction expansion. The method yields stable …
technique based on well-known partial fraction expansion. The method yields stable …
[PDF][PDF] Frequency weighted model order reduction techniques with error bounds
S Sahlan - 2009 - research-repository.uwa.edu.au
This thesis investigates the frequency weighted balanced model reduction problem for linear
time invariant systems. First, an interesting property of well-known frequency weighted …
time invariant systems. First, an interesting property of well-known frequency weighted …
On partial-fraction expansion based frequency weighted balanced truncation
In this paper, we present some remarks on frequency weighted balanced truncation
technique based on partial-fraction-expansion idea. In particular we show that two frequency …
technique based on partial-fraction-expansion idea. In particular we show that two frequency …