In industrial Model Predictive Control (MPC) applications, it is common to perform target calculation at each sample instant. The purpose of the target calculation is to translate operational targets supplied by higher level optimization functions into control targets that are feasible in the face of current disturbances. This paper shows that the commonly used target calculation formulation is flawed, and that this can lead to significant economic loss. A method for dealing with the identi¯ed problem is proposed
Process optimization is very important in the engineering industries. As optimisation is achieved, l...
Model predictive control (MPC) is an enabling technology in many industrial fields. In recent years,...
This article investigates synthetic model-predictive control (MPC) problems to demonstrate that an i...
The thesis deals with the improvement in the tracking in model predictive control(MPC). The main mot...
Model predictive control (MPC) is a successful technique which enables to deliver the desired goals...
In recent years, Economic Model Predictive Control has emerged as a variant of traditional (tracking...
Model predictive control (MPC) algorithms brought increase of the control system performance in many...
We address in the paper the problem of designing an economic model predictive control (EMPC) algorit...
Model predictive control (MPC) is a control technique that is frequently used in the process industr...
Handbook of Model Predictive Control / by Saša V. Raković and William S. Levine (Editors) This hand...
Abstract: Model predictive control (MPC) is an advanced process control strategy that is usually sep...
Model Predictive Control systems may suffer from performance degradation mainly for two reasons: (i)...
In model predictive control (MPC), also called recedinghorizon control, the control input is obtaine...
Model predictive control is an important model-based control strategy devised for large multiple-in...
This project thesis provides a brief overview of Model Predictive Control (MPC).A brief history of i...
Process optimization is very important in the engineering industries. As optimisation is achieved, l...
Model predictive control (MPC) is an enabling technology in many industrial fields. In recent years,...
This article investigates synthetic model-predictive control (MPC) problems to demonstrate that an i...
The thesis deals with the improvement in the tracking in model predictive control(MPC). The main mot...
Model predictive control (MPC) is a successful technique which enables to deliver the desired goals...
In recent years, Economic Model Predictive Control has emerged as a variant of traditional (tracking...
Model predictive control (MPC) algorithms brought increase of the control system performance in many...
We address in the paper the problem of designing an economic model predictive control (EMPC) algorit...
Model predictive control (MPC) is a control technique that is frequently used in the process industr...
Handbook of Model Predictive Control / by Saša V. Raković and William S. Levine (Editors) This hand...
Abstract: Model predictive control (MPC) is an advanced process control strategy that is usually sep...
Model Predictive Control systems may suffer from performance degradation mainly for two reasons: (i)...
In model predictive control (MPC), also called recedinghorizon control, the control input is obtaine...
Model predictive control is an important model-based control strategy devised for large multiple-in...
This project thesis provides a brief overview of Model Predictive Control (MPC).A brief history of i...
Process optimization is very important in the engineering industries. As optimisation is achieved, l...
Model predictive control (MPC) is an enabling technology in many industrial fields. In recent years,...
This article investigates synthetic model-predictive control (MPC) problems to demonstrate that an i...