In this paper, we present a novel non-iterative algorithm to identify linear time-invariant systems from frequency response data. The algorithm is related to the recent time-domain subspace identification techniques. Promising results are obtained when the algorithm is applied to the real frequency data originating from a large flexible structure. A robustness analysis is performed and under weak conditions on the measurement noise, it is shown that the algorithm is consistent
A widely used approach for identification of linear, time-invariant, MIMO (multi-input/multi output)...
\u97Identication of time-invariant linear dynamic systems is a mature subject. In this contribution ...
In this paper we present a new subspace algorithm for the identification of multi-input multioutput ...
In this paper we present a novel non-iterative algorithm for identifying linear time-invariant discr...
A unified approach is developed for identification of linear time-invariant systems. It is shown tha...
In this paper we present and analyze a novel algorithm for identifying linear time-invariant discret...
A unified approach for identification of linear time-invariant systems is developed. It is shown tha...
In this paper, we study instrumental variable subspace identification of multi-input/multi-output li...
In this paper we discuss how the time domain subspace based identification algorithms can be modifie...
In this paper we discuss how the time domain subspace based identification algorithms can be modifie...
Given limited and noisy data, identifying the transfer function of a complex aerospace system may pr...
A new formulation of transfer function matrix identification in frequency domain is introduced. It r...
This paper proposes a new methodology for subspace-based state-space identification for linear time-...
Recent frequency domain identification algorithms based on subspace based techniques are discussed. ...
Frequency domain subspace identification algo-rithms have been studied recently by several researche...
A widely used approach for identification of linear, time-invariant, MIMO (multi-input/multi output)...
\u97Identication of time-invariant linear dynamic systems is a mature subject. In this contribution ...
In this paper we present a new subspace algorithm for the identification of multi-input multioutput ...
In this paper we present a novel non-iterative algorithm for identifying linear time-invariant discr...
A unified approach is developed for identification of linear time-invariant systems. It is shown tha...
In this paper we present and analyze a novel algorithm for identifying linear time-invariant discret...
A unified approach for identification of linear time-invariant systems is developed. It is shown tha...
In this paper, we study instrumental variable subspace identification of multi-input/multi-output li...
In this paper we discuss how the time domain subspace based identification algorithms can be modifie...
In this paper we discuss how the time domain subspace based identification algorithms can be modifie...
Given limited and noisy data, identifying the transfer function of a complex aerospace system may pr...
A new formulation of transfer function matrix identification in frequency domain is introduced. It r...
This paper proposes a new methodology for subspace-based state-space identification for linear time-...
Recent frequency domain identification algorithms based on subspace based techniques are discussed. ...
Frequency domain subspace identification algo-rithms have been studied recently by several researche...
A widely used approach for identification of linear, time-invariant, MIMO (multi-input/multi output)...
\u97Identication of time-invariant linear dynamic systems is a mature subject. In this contribution ...
In this paper we present a new subspace algorithm for the identification of multi-input multioutput ...