This paper reviews available tuning guidelines for model-predictive control (MPC) from
theoretical and practical perspectives. Its primary focus is on the guidelines introduced since …

Abstract Dynamic Matrix Control (DMC) is well known in the MPC family and has been
implemented in many industrial processes. In all the MPC methods, tuning of controller …

Abstract Dynamic Matrix Control is a widely used Model Predictive Controller in industrial
processes. The successful implementation of Dynamic Matrix Control in practical …

This paper pretends to offer design rules for the parameters adjustment of the Dynamic
Matrix Control (DMC) to allow an easier starting up. The effect on the time response of each …

The use of better control strategies has a great interest in all kinds of industries in recent
years since it allows better use of resources and therefore becomes an important factor in …

In this study, we introduce a hierarchical and modular computational model to explain how
the CNS (Central Nervous System) controls arm reaching movement (ARM) in the frontal …

In order to get satisfying performances using the Model Predictive Control (MPC), one must
find the suitable values of its tuning parameters. Usually in literature, this task is achieved …

Several popular tuning strategies applicable to Model Predictive Control (MPC) schemes
such as GPC and DMC have previously been developed. Many of these tuning strategies …

This paper presents a practical off-line approach for tuning Model Predictive Control (MPC)
parameters with constraints. The MPC parameters values are computed from the expected …

Dynamic Matrix Control (DMC) is a widely used model predictive controller (MPC) in
industrial plants. The successful implementation of DMC in practical applications requires a …