Add to ORKGIn this paper, we propose a mixed approach to identication of linear dynamical systems corrupted by additive, amplitude bounded noise. To come up with an estimate of the system, we mix the information from a prediction error estimate and a set membership estimate. The estimate shows very good performance on a number of simulation examples, which are performed using a wide range of noise sources
In this technical note, the set membership error-in-variables identification problem is considered, ...
In this technical note, the set membership error-in-variables identification problem is considered, ...
Identification for robust control must deliver not only a nominal model, but also a reliable estimat...
This thesis contains three parts. In the first part, a set-membership identification algorithm is de...
In this paper we consider the problem of set-membership identification of multiple-inputs multiple-o...
Stochastic approximation methods for the identification of parameters of nonlinear systems without d...
In the paper the problem of identifying nonlinear dynamic systems, described in nonlinear regression...
Set-membership identification of dynamical systems is dealt with in this thesis. Differently from th...
The model identification problem for asymptotically stable linear time invariant systems is consider...
International audienceDefinitions of identifiability and methods for checking this property for line...
When both input and output data are contaminated by non-skewed and~or correlated (perhaps colored) G...
The carried out analysis of stochastic identification models has allowed to find a rigorous mathemat...
Investigates the set membership identification of time-invariant, discrete-time, exponentially stabl...
In this technical note, the set membership error-in-variables identification problem is considered, ...
In this technical note, the set membership error-in-variables identification problem is considered, ...
Identification for robust control must deliver not only a nominal model, but also a reliable estimat...
This thesis contains three parts. In the first part, a set-membership identification algorithm is de...
In this paper we consider the problem of set-membership identification of multiple-inputs multiple-o...
Stochastic approximation methods for the identification of parameters of nonlinear systems without d...
In the paper the problem of identifying nonlinear dynamic systems, described in nonlinear regression...
Set-membership identification of dynamical systems is dealt with in this thesis. Differently from th...
The model identification problem for asymptotically stable linear time invariant systems is consider...
International audienceDefinitions of identifiability and methods for checking this property for line...
When both input and output data are contaminated by non-skewed and~or correlated (perhaps colored) G...
The carried out analysis of stochastic identification models has allowed to find a rigorous mathemat...
Investigates the set membership identification of time-invariant, discrete-time, exponentially stabl...
In this technical note, the set membership error-in-variables identification problem is considered, ...
In this technical note, the set membership error-in-variables identification problem is considered, ...
Identification for robust control must deliver not only a nominal model, but also a reliable estimat...