This paper deals with DRGA analysis for uncertain systems. Uncertainties in a process model can be translated into uncertainties in the DRGA which might invalidate the decision on the variable paring in decentralized control. Bounds for the uncertainties in the DRGA of a multivariable process are derived for a given nominal process model with known uncertainty region. The resulting uncertainty region for the DRGA is used to assess the validity of decisions based on the nominal DRGA. The methodology for the computation of the bounds is currently restricted to the 2-by-2 case. Beside an explanatory example, a case study on a coal injection vessel is conducted and discussed.Godkänd; 2008; 20080623 (wolfgang)</p
The paper considers one of the fundamental issues in design and analysis of sampled multidimensional...
Industrial processes nowadays involve hundreds or more of variables to be maintained within predefin...
The best-estimate calculation results from complex system codes are affected by approximations that...
This paper deals with DRGA analysis for uncertain systems. Uncertainties in a process model can be t...
This project proposes a method for obtaining the variations in the Relative Gain Array (RGA) due to...
Abstract—Prediction of the future performance of large-scale power plants can be very relevant for t...
Relative disturbance gain array(RDGA)is a very useful tool for assessing the disturbance rejection c...
International audienceUncertainty in dynamical system descriptions can have different sources. Wheth...
A model-based robust controller is designed for a packed bed methanation reactor. To accomplish thi...
This article discusses the constrained nonlinear optimization formulation for calculating the worst ...
An optimization based method for calculating the worst case lower and upper bounds of relative gain ...
This paper presents a method for prediction of uncertain closed loop systems, where the uncertaintie...
An optimization based method for determining relative disturbance gain array (RDGA) range for uncert...
Constrained nonlinear optimization formulation for calculating the worst case lower and upper bound...
Significant research efforts have been devoted to large-scale dynamical systems, with the aim of und...
The paper considers one of the fundamental issues in design and analysis of sampled multidimensional...
Industrial processes nowadays involve hundreds or more of variables to be maintained within predefin...
The best-estimate calculation results from complex system codes are affected by approximations that...
This paper deals with DRGA analysis for uncertain systems. Uncertainties in a process model can be t...
This project proposes a method for obtaining the variations in the Relative Gain Array (RGA) due to...
Abstract—Prediction of the future performance of large-scale power plants can be very relevant for t...
Relative disturbance gain array(RDGA)is a very useful tool for assessing the disturbance rejection c...
International audienceUncertainty in dynamical system descriptions can have different sources. Wheth...
A model-based robust controller is designed for a packed bed methanation reactor. To accomplish thi...
This article discusses the constrained nonlinear optimization formulation for calculating the worst ...
An optimization based method for calculating the worst case lower and upper bounds of relative gain ...
This paper presents a method for prediction of uncertain closed loop systems, where the uncertaintie...
An optimization based method for determining relative disturbance gain array (RDGA) range for uncert...
Constrained nonlinear optimization formulation for calculating the worst case lower and upper bound...
Significant research efforts have been devoted to large-scale dynamical systems, with the aim of und...
The paper considers one of the fundamental issues in design and analysis of sampled multidimensional...
Industrial processes nowadays involve hundreds or more of variables to be maintained within predefin...
The best-estimate calculation results from complex system codes are affected by approximations that...