Multivariable and closed-loop identification of large scale industrial processes is studied. The proposed asymptotic identification method (ASYM) solves industrial identification problems systematically. The advantages of the new technology are: 1) improved model quality, 2) reduced time for plant test and data analysis, 3) reduced disturbance to unit operation during plant test and 4) user friendliness. To demonstrate the use of the method, identification of a deethanizer for use in MPC is presented
Model predictive control (MPC) is a control technique that is frequently used in the process industr...
\u3cp\u3eIn many multivariable industrial processes a subset of the available input signals is being...
Model predictive control (MPC) makes use of a model of the system, therefore performances are highly...
Multivariable and closed-loop identification of large scale industrial processes is studied. The pro...
Multivariable and closed-loop identification of large scale industrial processes is studied. The pro...
Abstract: In industrial model predictive control (MPC), there is a demand for efficient model identi...
In this work we study multivariable and closed-loop identification of industrial processes for use i...
This work reports the development of an identification technology and its application to advanced pr...
Abstract: In refining and petrochemical industries, there is a growing demand for efficient model id...
This paper deals with the model re-identification in closed-loop systems with already existing MPC c...
Closed loop identification techniques based on autoregressive models (ARMA), state space models and ...
This work deals with a procedure for model re-identification of a process in closed loop with ail al...
Closed loop identification techniques based on autoregressive models (ARMA), state space models and ...
Model predictive control (MPC) is a control technique that is frequently used in the process industr...
\u3cp\u3eIn many multivariable industrial processes a subset of the available input signals is being...
Model predictive control (MPC) makes use of a model of the system, therefore performances are highly...
Multivariable and closed-loop identification of large scale industrial processes is studied. The pro...
Multivariable and closed-loop identification of large scale industrial processes is studied. The pro...
Abstract: In industrial model predictive control (MPC), there is a demand for efficient model identi...
In this work we study multivariable and closed-loop identification of industrial processes for use i...
This work reports the development of an identification technology and its application to advanced pr...
Abstract: In refining and petrochemical industries, there is a growing demand for efficient model id...
This paper deals with the model re-identification in closed-loop systems with already existing MPC c...
Closed loop identification techniques based on autoregressive models (ARMA), state space models and ...
This work deals with a procedure for model re-identification of a process in closed loop with ail al...
Closed loop identification techniques based on autoregressive models (ARMA), state space models and ...
Model predictive control (MPC) is a control technique that is frequently used in the process industr...
\u3cp\u3eIn many multivariable industrial processes a subset of the available input signals is being...
Model predictive control (MPC) makes use of a model of the system, therefore performances are highly...