© 2018 Elsevier B.V. When solving partial differential equations numerically, usually a high order spatial discretization is needed. Model order reduction (MOR) techniques are often used to reduce the order of spatially-discretized systems and hence reduce computational complexity. A particular MOR technique to obtain a reduced order model (ROM) is balanced truncation (BT). However, if one aims at finding a good ROM on a certain finite time interval only, time-limited BT (TLBT) can be a more accurate alternative. So far, no error bound on TLBT has been proved. In this paper, we close this gap in the theory by providing an output error bound for TLBT with two different representations. The performance of the error bound is then shown in seve...
We show how extended balanced truncation can be applied to the parameterized model order reduction (...
This archive contains the Matlab scripts for calculation of time- and frequency-limited controllabil...
When solving linear stochastic differential equations numerically, usually a high order spatial disc...
When solving partial differential equations numerically, usually a high order spatial discretization...
When solving partial differential equations numerically, usually a high order spatial discretization...
For a single-input/single-output (SISO) linear time-invariant dynamical system, the standard H-infin...
Abstract—Error-bounds are developed for balanced truncation of linear time-varying systems, leading ...
We study a class of balanced truncation algorithms applicable to relative/multiplicative model reduc...
Abstract—In this paper, balanced truncation of linear time-varying systems is studied in discrete an...
When solving partial differential equations numerically, usually a high order spatial discretization...
In this article we investigate model order reduction of large-scale systems using time-limited balan...
Balanced truncation of discrete linear time-invariant systems is an automatic method once an error t...
In this paper, the balanced truncation procedure is applied to time-varying linear systems, both in ...
An error bound for transfer function order reduction is derived, when frequency weighted balanced tr...
AbstractBalanced truncation of discrete linear time-invariant systems is an automatic method once an...
We show how extended balanced truncation can be applied to the parameterized model order reduction (...
This archive contains the Matlab scripts for calculation of time- and frequency-limited controllabil...
When solving linear stochastic differential equations numerically, usually a high order spatial disc...
When solving partial differential equations numerically, usually a high order spatial discretization...
When solving partial differential equations numerically, usually a high order spatial discretization...
For a single-input/single-output (SISO) linear time-invariant dynamical system, the standard H-infin...
Abstract—Error-bounds are developed for balanced truncation of linear time-varying systems, leading ...
We study a class of balanced truncation algorithms applicable to relative/multiplicative model reduc...
Abstract—In this paper, balanced truncation of linear time-varying systems is studied in discrete an...
When solving partial differential equations numerically, usually a high order spatial discretization...
In this article we investigate model order reduction of large-scale systems using time-limited balan...
Balanced truncation of discrete linear time-invariant systems is an automatic method once an error t...
In this paper, the balanced truncation procedure is applied to time-varying linear systems, both in ...
An error bound for transfer function order reduction is derived, when frequency weighted balanced tr...
AbstractBalanced truncation of discrete linear time-invariant systems is an automatic method once an...
We show how extended balanced truncation can be applied to the parameterized model order reduction (...
This archive contains the Matlab scripts for calculation of time- and frequency-limited controllabil...
When solving linear stochastic differential equations numerically, usually a high order spatial disc...