When solving partial differential equations numerically, usually a high order spatial discretisation is needed. Model order reduction (MOR) techniques are often used to reduce the order of spatially-discretised systems and hence reduce computational complexity. A particular MOR technique to obtain a reduced order model (ROM) is balanced truncation (BT), a method which has been extensively studied for deterministic linear systems. As so-called type I BT it has already been extended to bilinear equations, an important subclass of nonlinear systems. We provide an alternative generalisation of the linear setting to bilinear systems which is called type II BT. The Gramians that we propose in this context contain information about the control. It...
In this paper we revisit the problems of passivity and bounded realness preserving model reduction b...
This work focuses on the model order reduction problem for bilinear control systems with nonzero ini...
Balanced truncation of discrete linear time-invariant systems is an automatic method once an error t...
When solving partial differential equations numerically, usually a high order spatial discretization...
In this paper, we investigate a large-scale stochastic system with bilinear drift and linear diffusi...
In this paper, we investigate a large-scale stochastic system with bilinear drift and linear diffusi...
In this paper, we consider model order reduction for bilinear systems with non-zero initial conditio...
This paper obtains a balanced truncation model reduction method for discrete-time bilinear systems. ...
Model reduction methods for bilinear control systems are compared by means of practical examples of ...
When solving linear stochastic differential equations numerically, usually a high order spatial disc...
Nonlinear balanced truncation is a model order reduction technique that reduces the dimension of non...
When solving linear stochastic partial differential equations numerically, usually a high order spat...
When solving partial differential equations numerically, usually a high order spatial discretization...
This paper focuses on the model reduction problem for a special class of linear parameter-varying sy...
When solving partial differential equations numerically, usually a high order spatial discretization...
In this paper we revisit the problems of passivity and bounded realness preserving model reduction b...
This work focuses on the model order reduction problem for bilinear control systems with nonzero ini...
Balanced truncation of discrete linear time-invariant systems is an automatic method once an error t...
When solving partial differential equations numerically, usually a high order spatial discretization...
In this paper, we investigate a large-scale stochastic system with bilinear drift and linear diffusi...
In this paper, we investigate a large-scale stochastic system with bilinear drift and linear diffusi...
In this paper, we consider model order reduction for bilinear systems with non-zero initial conditio...
This paper obtains a balanced truncation model reduction method for discrete-time bilinear systems. ...
Model reduction methods for bilinear control systems are compared by means of practical examples of ...
When solving linear stochastic differential equations numerically, usually a high order spatial disc...
Nonlinear balanced truncation is a model order reduction technique that reduces the dimension of non...
When solving linear stochastic partial differential equations numerically, usually a high order spat...
When solving partial differential equations numerically, usually a high order spatial discretization...
This paper focuses on the model reduction problem for a special class of linear parameter-varying sy...
When solving partial differential equations numerically, usually a high order spatial discretization...
In this paper we revisit the problems of passivity and bounded realness preserving model reduction b...
This work focuses on the model order reduction problem for bilinear control systems with nonzero ini...
Balanced truncation of discrete linear time-invariant systems is an automatic method once an error t...