This paper presents a method for the robust control structure selection based on the assessment of the H2-norm. For both uncertain parametric models and non parametric estimated frequency response functions (FRF) with confidence regions, the magnitude of the Bode diagram is analyzed and regions for the H2-norm are derived. The H2-norm has been successfully used to identify the significant input-output interconnections in multivariable system for the nominal case. The derived regions for the H2-norm of the interconnections are used to extent the H2-norm based method to the uncertain case, and enables robust control structure selection. The method is applied to theoretical examples and a quadruple tank setup to shows its feasibility.Godkänd; ...
H ∞ -norm estimation is of critical importance for robust control design. This paper aims to develop...
This paper deals with the combination of system identifica-tion and robust controller design. Recent...
It is evident that military applications for 21st century will be highly complex, multivariable syst...
This paper presents a method for the robust control structure selection based on the assessment of t...
In many applications, design or analysis is performed over a finite-frequency range of interest. The...
This dissertation considers a general concept of nonconservative measures of dynamic system performa...
The main goal of this task was a calculation of the two multivariable regulators for precise steerin...
Various optimal control strategies exist in the literature. Prominent approaches are Robust Control ...
The worst-case effect of a disturbance system on the H 2 norm of the system is analyzed. An explicit...
The aim of this paper is to develop a new datadriven approach for learning the H8 -norm of multivari...
Two important components in control design are the model development prior to control design and the...
Robust control allows for guaranteed performance for a range of candidate models. The aim of this pa...
Robust control design hinges on the availability of an accurate uncertainty model. The aim of this p...
The selection of uncertainty structures is an important aspect in system identification for robust c...
H ∞ -norm estimation is of critical importance for robust control design. This paper aims to develop...
This paper deals with the combination of system identifica-tion and robust controller design. Recent...
It is evident that military applications for 21st century will be highly complex, multivariable syst...
This paper presents a method for the robust control structure selection based on the assessment of t...
In many applications, design or analysis is performed over a finite-frequency range of interest. The...
This dissertation considers a general concept of nonconservative measures of dynamic system performa...
The main goal of this task was a calculation of the two multivariable regulators for precise steerin...
Various optimal control strategies exist in the literature. Prominent approaches are Robust Control ...
The worst-case effect of a disturbance system on the H 2 norm of the system is analyzed. An explicit...
The aim of this paper is to develop a new datadriven approach for learning the H8 -norm of multivari...
Two important components in control design are the model development prior to control design and the...
Robust control allows for guaranteed performance for a range of candidate models. The aim of this pa...
Robust control design hinges on the availability of an accurate uncertainty model. The aim of this p...
The selection of uncertainty structures is an important aspect in system identification for robust c...
H ∞ -norm estimation is of critical importance for robust control design. This paper aims to develop...
This paper deals with the combination of system identifica-tion and robust controller design. Recent...
It is evident that military applications for 21st century will be highly complex, multivariable syst...