Add to ORKGModel validation and estimating the size of a possible model error is a central aspect of System Identification. In this contribution we discuss the model error concepts and model error modeling for control design. Of special interest is how to make use of periodic inputs, and how to deal with non-linear error models. The discussion is limited to SISO models and stability robustness issues
A recent perspective on model error modeling is applied to set membership identification techniques ...
Identification for robust control must deliver not only a nominal model, but also a reliable estimat...
This paper presents a coherent framework for model validation for control and for controller validat...
Model validation and estimating the size of a possible model error is a central aspect of System Ide...
To estimate a model of useful complexity for control design, at the same time as having a good insig...
The results on model validation for control and controller validation in a prediction error identifi...
To validate an estimated model and to have a good understanding of its reliability is a central aspe...
We examine some recent methods for System Identication, that also deliver non-parametric error bound...
In this paper, we illustrate our new results on model validation for control and controller validati...
Identification for robust control must deliver not only a nominal model, but also a reliable estimat...
We propose a model validation procedure that consists of a prediction error identification experimen...
We propose a model validation procedure that consists of a prediction error identification experimen...
Design validation for microprocessors based on modeling design errors and generating tests for them ...
In this paper, systems where information about model accuracy is contained in a model error model ar...
Identification for robust control must deliver not only a nominal model, but also a reliable estimat...
A recent perspective on model error modeling is applied to set membership identification techniques ...
Identification for robust control must deliver not only a nominal model, but also a reliable estimat...
This paper presents a coherent framework for model validation for control and for controller validat...
Model validation and estimating the size of a possible model error is a central aspect of System Ide...
To estimate a model of useful complexity for control design, at the same time as having a good insig...
The results on model validation for control and controller validation in a prediction error identifi...
To validate an estimated model and to have a good understanding of its reliability is a central aspe...
We examine some recent methods for System Identication, that also deliver non-parametric error bound...
In this paper, we illustrate our new results on model validation for control and controller validati...
Identification for robust control must deliver not only a nominal model, but also a reliable estimat...
We propose a model validation procedure that consists of a prediction error identification experimen...
We propose a model validation procedure that consists of a prediction error identification experimen...
Design validation for microprocessors based on modeling design errors and generating tests for them ...
In this paper, systems where information about model accuracy is contained in a model error model ar...
Identification for robust control must deliver not only a nominal model, but also a reliable estimat...
A recent perspective on model error modeling is applied to set membership identification techniques ...
Identification for robust control must deliver not only a nominal model, but also a reliable estimat...
This paper presents a coherent framework for model validation for control and for controller validat...