AbstractIn this paper, we focus our attention on linear time invariant continuous time linear systems with one input and one output (SISO LTI systems). We consider the problem of constructing a reduced order system via truncation of the original system. Given a SISO strictly proper transfer function T(s) of McMillan degree N and a strictly proper SISO transfer function T̂(s) of McMillan degree n<N, we prove that T̂(s) can always be constructed via truncation of the system T(s). The proof is mainly based on interpolation theory, and more precisely on multipoint Padé interpolation. Moreover, new results about Krylov subspaces are developed
AbstractAntoulas and Sorensen have recently proposed a passivity-preserving model-reduction method o...
This paper is concerned with the construction of reduced-order models for high-order linear systems ...
. Model reduction is of fundamental importance in many modeling and control applications. Here we ad...
In this paper, we focus our attention on linear time invariant continuous time linear systems with o...
The modelling of physical processes gives rise to mathematical systems of increasing complexity. Goo...
In this paper, we address the problem of constructing a reduced order system of minimal McMillan deg...
We present two efficient algorithms to produce a reduced order model of a time-invariant linear dyna...
We present two efficient algorithms to produce a reduced order model of a time-invariant linear dyna...
Abstract. We present two efcient algorithms to produce a reduced order model of a time-invariant lin...
Although most of the theory presented in this paper holds for both continuous-time and discrete-time...
Although most of the theory presented in this paper holds for both continuous-time and discrete-time...
AbstractA model order reduction technique for systems depending on two parameters is developed. Give...
AbstractIn this paper, we establish a connection between Krylov subspace techniques for Multipoint P...
—We consider model order reduction of linear timevarying systems on a finite time interval using bala...
Dynamical systems are mathematical models characterized by a set of differential or differ-ence equa...
AbstractAntoulas and Sorensen have recently proposed a passivity-preserving model-reduction method o...
This paper is concerned with the construction of reduced-order models for high-order linear systems ...
. Model reduction is of fundamental importance in many modeling and control applications. Here we ad...
In this paper, we focus our attention on linear time invariant continuous time linear systems with o...
The modelling of physical processes gives rise to mathematical systems of increasing complexity. Goo...
In this paper, we address the problem of constructing a reduced order system of minimal McMillan deg...
We present two efficient algorithms to produce a reduced order model of a time-invariant linear dyna...
We present two efficient algorithms to produce a reduced order model of a time-invariant linear dyna...
Abstract. We present two efcient algorithms to produce a reduced order model of a time-invariant lin...
Although most of the theory presented in this paper holds for both continuous-time and discrete-time...
Although most of the theory presented in this paper holds for both continuous-time and discrete-time...
AbstractA model order reduction technique for systems depending on two parameters is developed. Give...
AbstractIn this paper, we establish a connection between Krylov subspace techniques for Multipoint P...
—We consider model order reduction of linear timevarying systems on a finite time interval using bala...
Dynamical systems are mathematical models characterized by a set of differential or differ-ence equa...
AbstractAntoulas and Sorensen have recently proposed a passivity-preserving model-reduction method o...
This paper is concerned with the construction of reduced-order models for high-order linear systems ...
. Model reduction is of fundamental importance in many modeling and control applications. Here we ad...