In this paper, the problem of approximating a medium-scale MIMO LTI dynamical system over a bounded frequency range is addressed. A new method based on the SVD-Tangential model order reduction framework is proposed. Grounded on the frequency-limited gramians defined in [5], the contribution of this paper is to propose a frequency-limited iterative SVD-Tangential interpolation algorithm (FL-ISTIA) to achieve frequency-limited model approximation without involving weighting filters. The efficiency of the approach is addressed both on standard benchmark and on an industrial flexible aircraft model
Accurate uncertainty modeling is of key importance in high performance robust control design. The ai...
International audienceIn this work an approach for the generation of a generalized state-space aeros...
In this paper we study multi-input-multi-output (MIMO) extensions of a recently proposed model reduc...
Abstract—In this paper, the problem of medium-scale MIMO LTI systems approximation is addressed. The...
Physical systems are represented by mathematical models in order to be simulated, analysed or contro...
AbstractModeling strategies often result in dynamical systems of very high dimension. It is then des...
Abstract — Model approximation of multiple-inputs/multiple-outputs (MIMO) linear dynamical systems o...
Abstract: The poles/residues expression of the frequency-limited H2-norm is used to derive two upper...
Abstract. We consider the optimal H2 model reduction for large scale multi-input multi-output system...
In this paper, a frequency-weighted extension of a recently proposed model reduction method for lin...
Les systèmes physiques sont représentés par des modèles mathématiques qui peuvent être utilisés pour...
This paper develops an interpolatory framework for weighted-H2 model reduction of MIMO dynamical sys...
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...
AbstractIn this paper, we present a new method of model reduction for large-scale dynamical systems,...
Accurate uncertainty modeling is of key importance in high performance robust control design. The ai...
International audienceIn this work an approach for the generation of a generalized state-space aeros...
In this paper we study multi-input-multi-output (MIMO) extensions of a recently proposed model reduc...
Abstract—In this paper, the problem of medium-scale MIMO LTI systems approximation is addressed. The...
Physical systems are represented by mathematical models in order to be simulated, analysed or contro...
AbstractModeling strategies often result in dynamical systems of very high dimension. It is then des...
Abstract — Model approximation of multiple-inputs/multiple-outputs (MIMO) linear dynamical systems o...
Abstract: The poles/residues expression of the frequency-limited H2-norm is used to derive two upper...
Abstract. We consider the optimal H2 model reduction for large scale multi-input multi-output system...
In this paper, a frequency-weighted extension of a recently proposed model reduction method for lin...
Les systèmes physiques sont représentés par des modèles mathématiques qui peuvent être utilisés pour...
This paper develops an interpolatory framework for weighted-H2 model reduction of MIMO dynamical sys...
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...
AbstractIn this paper, we present a new method of model reduction for large-scale dynamical systems,...
Accurate uncertainty modeling is of key importance in high performance robust control design. The ai...
International audienceIn this work an approach for the generation of a generalized state-space aeros...
In this paper we study multi-input-multi-output (MIMO) extensions of a recently proposed model reduc...