Add to ORKGClassical validation methods “accept” or “reject” a model as a valid representation of a plant for some intended use. However this binary result has several problems as firstly, models are neither good nor bad but have a certain valid frequency range and secondly the procedure gives no insight into why the model is not useful or how to improve the model. Moreover within the framework of iterative identification and control design the model validation issue arises the following requirements: i) Is it possible to improve an existing model?. ii) How can the model be improved?. iii) How authoritative can be the designed controller?. These facts question the suitability of traditional model validation schemes in general and their suitabil...
In this paper, we illustrate our new results on model validation for control and controller validati...
The results on model validation for control and controller validation in a prediction error identifi...
In this thesis, laboratory response reconstruction and computational model validation is investigate...
Classical validation methods “accept” or “reject” a model as a valid representation of a plant for ...
Iterative controller design by model unfalsification and robust controller design is reexamined and ...
This thesis addresses model validation, important in robust control system modeling, for the identif...
Model validation is a means of assessing model quality with respect to experimental data. In a robus...
The majority of literature on robust control assumes that a design model is available and that the u...
Abstract The majority of literature on robust control assumes that a design model is available and t...
Model validation is the exercise of assessing whether a model of some underlying system is good enou...
Abstract—Deterministic approaches to model validation for robust control are investigated. In common...
Modern robust control synthesis techniques aim at providing robustness with respect to uncertainty i...
System identification is about constructing and validating modelsfrom measured data. When designing ...
This paper reviews some issues in system identification that are relevant for building models to be ...
The gap between the models used in control synthesis and those obtained from identification experime...
In this paper, we illustrate our new results on model validation for control and controller validati...
The results on model validation for control and controller validation in a prediction error identifi...
In this thesis, laboratory response reconstruction and computational model validation is investigate...
Classical validation methods “accept” or “reject” a model as a valid representation of a plant for ...
Iterative controller design by model unfalsification and robust controller design is reexamined and ...
This thesis addresses model validation, important in robust control system modeling, for the identif...
Model validation is a means of assessing model quality with respect to experimental data. In a robus...
The majority of literature on robust control assumes that a design model is available and that the u...
Abstract The majority of literature on robust control assumes that a design model is available and t...
Model validation is the exercise of assessing whether a model of some underlying system is good enou...
Abstract—Deterministic approaches to model validation for robust control are investigated. In common...
Modern robust control synthesis techniques aim at providing robustness with respect to uncertainty i...
System identification is about constructing and validating modelsfrom measured data. When designing ...
This paper reviews some issues in system identification that are relevant for building models to be ...
The gap between the models used in control synthesis and those obtained from identification experime...
In this paper, we illustrate our new results on model validation for control and controller validati...
The results on model validation for control and controller validation in a prediction error identifi...
In this thesis, laboratory response reconstruction and computational model validation is investigate...