International audienceThis paper deals with the problem of computing a best stable rational L2 approximation of specified order to a given multivariable transfer function. The problem is equivalently formulated as a minimization problem over the manifold of stable all-pass (or lossless) transfer functions of fixed order. Some special Schur parameters are used to describe this manifold. Such a description presents numerous advantages: it takes into account the stability constraint, possesses a good numerical behavior and provides a model in state-space form, which is very useful in practice. A rigorous and convergent algorithm is proposed to compute local minima which has been implemented using standard MATLAB subroutines. The effectiveness ...
Abstract — Model approximation of multiple-inputs/multiple-outputs (MIMO) linear dynamical systems o...
Abstract. An adaptive model reduction method is proposed for linear time-invariant systems based on ...
Algorithms for approximation of rational matrix factors to data is described. The method is based on...
International audienceThis paper deals with the problem of computing a best stable rational L2 appro...
This paper deals with the problem of computing a best rational L² approximation of specified order t...
International audienceWe investigate the parametrization issue for real discrete-time stable all-pas...
Abstract. The optimal H2 model reduction problem is of great importance in the area of dynamical sys...
In this paper, we use convex optimization for model reduction and identification of transfer functio...
In this paper, an original approach to frequency identification is explained and demonstrated throug...
The study of lossless matrices is motivated by two main applications in system theory: * Lossless ma...
We consider the problem of approximating a p × m rational transfer function H(s) of high degree by a...
We revisit the problem of approximating a multiple-input multiple-output $p imes m$ rational transfe...
AbstractWe consider the problem of approximating a p×m rational transfer function H(s) of high degre...
A set of necessary conditions that must be satisfied by the L2 optimal rational transfer matrix appr...
The problem of determining the best rational approximant of a given rational transfer function of hi...
Abstract — Model approximation of multiple-inputs/multiple-outputs (MIMO) linear dynamical systems o...
Abstract. An adaptive model reduction method is proposed for linear time-invariant systems based on ...
Algorithms for approximation of rational matrix factors to data is described. The method is based on...
International audienceThis paper deals with the problem of computing a best stable rational L2 appro...
This paper deals with the problem of computing a best rational L² approximation of specified order t...
International audienceWe investigate the parametrization issue for real discrete-time stable all-pas...
Abstract. The optimal H2 model reduction problem is of great importance in the area of dynamical sys...
In this paper, we use convex optimization for model reduction and identification of transfer functio...
In this paper, an original approach to frequency identification is explained and demonstrated throug...
The study of lossless matrices is motivated by two main applications in system theory: * Lossless ma...
We consider the problem of approximating a p × m rational transfer function H(s) of high degree by a...
We revisit the problem of approximating a multiple-input multiple-output $p imes m$ rational transfe...
AbstractWe consider the problem of approximating a p×m rational transfer function H(s) of high degre...
A set of necessary conditions that must be satisfied by the L2 optimal rational transfer matrix appr...
The problem of determining the best rational approximant of a given rational transfer function of hi...
Abstract — Model approximation of multiple-inputs/multiple-outputs (MIMO) linear dynamical systems o...
Abstract. An adaptive model reduction method is proposed for linear time-invariant systems based on ...
Algorithms for approximation of rational matrix factors to data is described. The method is based on...