Add to ORKGClosed-loop identification of the multi-input multi-output (MIMO) process is studied. Models of coprime factors and their error bounds in the frequency domain are estimated using a stochastic method. Simple solutions are proposed under different conditions of the feedback controller. For each coprime factorization it is necessary to solve two open-loop identification problems, which can be done using a stochastic approach. The corresponding Bezout identity can be used for model validation
Abstract—In approximate identification, the goal of the model should be taken into account when eval...
Conventional process identification techniques of a open-loop process use the cross-correlation func...
System identification deals with the construction of mathematical models of dynamical systems using ...
Closed-loop identification of the multi-input multi-output (MIMO) process is studied. Models of copr...
Closed-loop identification of the multi-input multi-output (MIMO) process is studied. Models of copr...
In approximate identification, the goal of the model should be taken into account when evaluating mo...
In approximate identification, the goal of the model should be taken into account when evaluating mo...
In approximate identification, the goal of the model should be taken into account when evaluating mo...
In approximate identification, the goal of the model should be taken into account when evaluating mo...
In approximate identification, the goal of the model should be taken into account when evaluating mo...
In approximate identification, the goal of the model should be taken into account when evaluating mo...
In approximate identification, the goal of the model should be taken into account when evaluating mo...
The goal of this master thesis is to investigate MIMO system identification in closed loop using Sub...
Identification of systems operating in closed loop has long been of prime interest in industrial app...
Identification of systems operating in closed loop has long been of prime interest in industrial app...
Abstract—In approximate identification, the goal of the model should be taken into account when eval...
Conventional process identification techniques of a open-loop process use the cross-correlation func...
System identification deals with the construction of mathematical models of dynamical systems using ...
Closed-loop identification of the multi-input multi-output (MIMO) process is studied. Models of copr...
Closed-loop identification of the multi-input multi-output (MIMO) process is studied. Models of copr...
In approximate identification, the goal of the model should be taken into account when evaluating mo...
In approximate identification, the goal of the model should be taken into account when evaluating mo...
In approximate identification, the goal of the model should be taken into account when evaluating mo...
In approximate identification, the goal of the model should be taken into account when evaluating mo...
In approximate identification, the goal of the model should be taken into account when evaluating mo...
In approximate identification, the goal of the model should be taken into account when evaluating mo...
In approximate identification, the goal of the model should be taken into account when evaluating mo...
The goal of this master thesis is to investigate MIMO system identification in closed loop using Sub...
Identification of systems operating in closed loop has long been of prime interest in industrial app...
Identification of systems operating in closed loop has long been of prime interest in industrial app...
Abstract—In approximate identification, the goal of the model should be taken into account when eval...
Conventional process identification techniques of a open-loop process use the cross-correlation func...
System identification deals with the construction of mathematical models of dynamical systems using ...