This paper reviews a method for approximating the bounds on a gramian-based Interaction Measure (IM) for systems described by uncertain parametric models. The considered IM is the Participation Matrix. The reviewed method is based on analyzing the uncertainty in the area enclosed by the Nyquist curve. Conditions for the exactitude of this method are derived, and implementation issues are discussed.Godkänd; 2012; 20110601 (wolfgang)Metoder för strukturell optimering av styrning i massatillverkning - MeST
A key problem in the application of process control systems is to decide which inputs should control...
International audienceThe interaction matrix, or spatial weight matrix, is the fundamental tool to m...
This paper presents a method for the robust control structure selection based on the assessment of t...
This paper reviews a method for approximating the bounds on a gramian-based Interaction Measure (IM)...
Interaction measures quantify the input-output relations in MIMO processes and can support the selec...
Process industries have to operate in a very competitive and globalized environment, requiring effic...
This paper introduces an interaction measure, which can be applied both to linear and non-linear sys...
Interaction measure determines decentralized and parse control configurations for a multivariable pr...
In many applications one is interested in control and analysis within a bounded frequency-interval. ...
In this paper, a MIMO interaction measure is described and its use in structure selection of multiva...
Process industries have to operate in a very competitive and globalized environment, requiring effic...
A sparse control structure can be seen as a decentralised controller that is expanded to include fee...
Control configuration selection is the procedure of choosing the appropriate input and output pairs ...
Industrial processes nowadays involve hundreds or more of variables to be maintained within predefin...
Control configuration selection is the procedure of choosing the appropriate input and output pairs ...
A key problem in the application of process control systems is to decide which inputs should control...
International audienceThe interaction matrix, or spatial weight matrix, is the fundamental tool to m...
This paper presents a method for the robust control structure selection based on the assessment of t...
This paper reviews a method for approximating the bounds on a gramian-based Interaction Measure (IM)...
Interaction measures quantify the input-output relations in MIMO processes and can support the selec...
Process industries have to operate in a very competitive and globalized environment, requiring effic...
This paper introduces an interaction measure, which can be applied both to linear and non-linear sys...
Interaction measure determines decentralized and parse control configurations for a multivariable pr...
In many applications one is interested in control and analysis within a bounded frequency-interval. ...
In this paper, a MIMO interaction measure is described and its use in structure selection of multiva...
Process industries have to operate in a very competitive and globalized environment, requiring effic...
A sparse control structure can be seen as a decentralised controller that is expanded to include fee...
Control configuration selection is the procedure of choosing the appropriate input and output pairs ...
Industrial processes nowadays involve hundreds or more of variables to be maintained within predefin...
Control configuration selection is the procedure of choosing the appropriate input and output pairs ...
A key problem in the application of process control systems is to decide which inputs should control...
International audienceThe interaction matrix, or spatial weight matrix, is the fundamental tool to m...
This paper presents a method for the robust control structure selection based on the assessment of t...