Model order reduction for gas and energy networks
To counter the volatile nature of renewable energy sources, gas networks take a vital role.
But, to ensure fulfillment of contracts under these circumstances, a vast number of possible …
But, to ensure fulfillment of contracts under these circumstances, a vast number of possible …
emgr—The Empirical Gramian Framework
C Himpe - Algorithms, 2018 - mdpi.com
System Gramian matrices are a well-known encoding for properties of input-output systems
such as controllability, observability or minimality. These so-called system Gramians were …
such as controllability, observability or minimality. These so-called system Gramians were …
Model order reduction of linear systems via the cross Gramian and SVD
YL Jiang, ZZ Qi, P Yang - … on Circuits and Systems II: Express …, 2018 - ieeexplore.ieee.org
On the basis of the cross Gramian and the singular value decomposition, this brief
investigates model order reduction of linear time-invariant systems in the view of the …
investigates model order reduction of linear time-invariant systems in the view of the …
Dimension reduction based on time-limited cross Gramians for bilinear systems
ZH Xiao, YL Jiang, ZZ Qi - Journal of Computational and Applied …, 2025 - Elsevier
The cross Gramian is a useful tool in model order reduction but only applicable to square
dynamical systems. Throughout this paper, time-limited cross Gramians is firstly extended to …
dynamical systems. Throughout this paper, time-limited cross Gramians is firstly extended to …
Model order reduction of port-Hamiltonian systems with inhomogeneous initial conditions via approximate finite-time Gramians
Y Li, Y Jiang, P Yang - Applied Mathematics and Computation, 2022 - Elsevier
Based on the approximate finite-time Gramians, this paper studies model order reduction
method of port-Hamiltonian systems with inhomogeneous initial conditions. The …
method of port-Hamiltonian systems with inhomogeneous initial conditions. The …
Model order reduction based on low-rank decomposition of the cross Gramian
This paper considers model order reduction based on low-rank decomposition of the cross
Gramian for linear systems. The proposed approach uses the low-rank factors of the cross …
Gramian for linear systems. The proposed approach uses the low-rank factors of the cross …
Cross-Gramian-based dominant subspaces
A standard approach for model reduction of linear input-output systems is balanced
truncation, which is based on the controllability and observability properties of the …
truncation, which is based on the controllability and observability properties of the …
New integer-order approximations of discrete-time non-commensurate fractional-order systems using the cross Gramian
M Rydel - Advances in Computational Mathematics, 2019 - Springer
This paper presents a new approach to modeling of linear time-invariant discrete-time non-
commensurate fractional-order single-input single-output state space systems by means of …
commensurate fractional-order single-input single-output state space systems by means of …
Comparing (empirical-Gramian-based) model order reduction algorithms
C Himpe - Model reduction of complex dynamical systems, 2021 - Springer
In this work, the empirical-Gramian-based model reduction methods: Empirical poor man's
truncated balanced realization, empirical approximate balancing, empirical dominant …
truncated balanced realization, empirical approximate balancing, empirical dominant …
H2 optimal model order reduction on the Stiefel manifold for the MIMO discrete system by the cross Gramian
WG Wang, YL Jiang - Mathematical and Computer Modelling of …, 2018 - Taylor & Francis
In this paper, the H 2 optimal model order reduction method for the large-scale multiple-input
multiple-output (MIMO) discrete system is investigated. First, the MIMO discrete system is …
multiple-output (MIMO) discrete system is investigated. First, the MIMO discrete system is …