We give a short overview on methods of Model (In-)Validation, that fit to the robust control framework. The idea is that the mismatch between a measured datum and an expected datum is explained by a disturbance signal w and an error model Delta, representing unmodelled dynamics. The key question is if there exists a pair (w,Delta), sufficiently small, that can produce the measured datum. In particular, we view the different approaches by Smith et.al. and Poolla et.al., their numerical solution and given examples
Identification for robust control must deliver not only a nominal model, but also a reliable estimat...
The problem of assessing the quality of a given, or estimated model is a central issue in system ide...
Identification for robust control must deliver not only a nominal model, but also a reliable estimat...
The gap between the models used in control synthesis and those obtained from identification experime...
Modern robust control synthesis techniques aim at providing robustness with respect to uncertainty i...
Abstract—Deterministic approaches to model validation for robust control are investigated. In common...
Model validation is the exercise of assessing whether a model of some underlying system is good enou...
We propose a model validation procedure that consists of a prediction error identification experimen...
Model validation is a means of assessing model quality with respect to experimental data. In a robus...
This thesis addresses model validation, important in robust control system modeling, for the identif...
This paper begins to address the gap between the models used in robust control theory and those obta...
We propose a model validation procedure that consists of a prediction error identification experimen...
In deterministic model validation approaches, model errors can be attributed to both disturbances an...
The application of robust control theory requires representative models containing unknown bounded p...
This paper presents a coherent framework for model validation for control and for controller validat...
Identification for robust control must deliver not only a nominal model, but also a reliable estimat...
The problem of assessing the quality of a given, or estimated model is a central issue in system ide...
Identification for robust control must deliver not only a nominal model, but also a reliable estimat...
The gap between the models used in control synthesis and those obtained from identification experime...
Modern robust control synthesis techniques aim at providing robustness with respect to uncertainty i...
Abstract—Deterministic approaches to model validation for robust control are investigated. In common...
Model validation is the exercise of assessing whether a model of some underlying system is good enou...
We propose a model validation procedure that consists of a prediction error identification experimen...
Model validation is a means of assessing model quality with respect to experimental data. In a robus...
This thesis addresses model validation, important in robust control system modeling, for the identif...
This paper begins to address the gap between the models used in robust control theory and those obta...
We propose a model validation procedure that consists of a prediction error identification experimen...
In deterministic model validation approaches, model errors can be attributed to both disturbances an...
The application of robust control theory requires representative models containing unknown bounded p...
This paper presents a coherent framework for model validation for control and for controller validat...
Identification for robust control must deliver not only a nominal model, but also a reliable estimat...
The problem of assessing the quality of a given, or estimated model is a central issue in system ide...
Identification for robust control must deliver not only a nominal model, but also a reliable estimat...