Abstract. We consider the optimal H2 model reduction for large scale multi-input multi-output systems via tangential interpolation. Specifically, we prove that for general multi-input multi-output systems, the tangential interpolation-based optimality conditions and the gramian-based optimality conditions are equivalent. Based on the tangential interpolation, a fast algorithm is proposed for the optimal H2 model reduction. Numerical examples are presented to demonstrate the approximation accuracy and computational efficiency of the proposed algorithm. Key Words. Optimal H2 model reduction, tangential interpolation, multi-input multi-output system. 1
A model reduction technique that is optimal in the H∞-norm has long been pursued due to its theoreti...
This paper is concerned with the construction of reduced-order models for high-order linear systems ...
The modelling of physical processes gives rise to mathematical systems of increasing complexity. Goo...
AbstractWe consider the problem of approximating a p×m rational transfer function H(s) of high degre...
We consider the problem of approximating a p × m rational transfer function H(s) of high degree by a...
This paper develops an interpolatory framework for weighted-H2 model reduction of MIMO dynamical sys...
AbstractModeling strategies often result in dynamical systems of very high dimension. It is then des...
Abstract. The optimal H2 model reduction problem is of great importance in the area of dynamical sys...
<p>In this contribution, a new framework for <math><mrow><msub><mrow><mrow><mi>H</mi></mrow></mrow><...
In this paper, the H2 optimal model order reduction method for the large-scale multiple-input multip...
Port-Hamiltonian systems result from port-based network modeling of physical systems and are an impo...
In this paper, we address the problem of constructing a reduced order system of minimal McMillan deg...
Port-Hamiltonian systems result from port-based network modeling of physical systems and are an impo...
We revisit the problem of approximating a multiple-input multiple-output $p imes m$ rational transfe...
This dissertation is devoted to the development and study of new techniques for model reduction of l...
A model reduction technique that is optimal in the H∞-norm has long been pursued due to its theoreti...
This paper is concerned with the construction of reduced-order models for high-order linear systems ...
The modelling of physical processes gives rise to mathematical systems of increasing complexity. Goo...
AbstractWe consider the problem of approximating a p×m rational transfer function H(s) of high degre...
We consider the problem of approximating a p × m rational transfer function H(s) of high degree by a...
This paper develops an interpolatory framework for weighted-H2 model reduction of MIMO dynamical sys...
AbstractModeling strategies often result in dynamical systems of very high dimension. It is then des...
Abstract. The optimal H2 model reduction problem is of great importance in the area of dynamical sys...
<p>In this contribution, a new framework for <math><mrow><msub><mrow><mrow><mi>H</mi></mrow></mrow><...
In this paper, the H2 optimal model order reduction method for the large-scale multiple-input multip...
Port-Hamiltonian systems result from port-based network modeling of physical systems and are an impo...
In this paper, we address the problem of constructing a reduced order system of minimal McMillan deg...
Port-Hamiltonian systems result from port-based network modeling of physical systems and are an impo...
We revisit the problem of approximating a multiple-input multiple-output $p imes m$ rational transfe...
This dissertation is devoted to the development and study of new techniques for model reduction of l...
A model reduction technique that is optimal in the H∞-norm has long been pursued due to its theoreti...
This paper is concerned with the construction of reduced-order models for high-order linear systems ...
The modelling of physical processes gives rise to mathematical systems of increasing complexity. Goo...