… RNN structure based on a priori structural process knowledge, … problem of the RNN training
process are developed. The … model predictive controllers and applied to a chemical process …

… This paper provides an overview of commercially available Model Predictive Control (MPC) …
tional control structure on the left for Unit 1 and a model predictive control structure on the …

… imposed on the process by design considerations, and process structure. In this work, we
focus on process structure knowledge in terms of relationships between the process input and …

… the most suitable class of models for model predictive control. In particular because, in order
… better model structure in order to make prediction for nonlinear model predictive control. In …

… Model-based predictive control (MPC) describes a set of advanced control methods,
which make use of a process model to predict the future behavior of the controlled system. By …

… This paper presents a new methodology for selecting control structure in the context of
distributed model predictive control. An index was developed to quantify the performance of …

… This paper describes a new method for the design of model predictive control (MPC) using
non-… Furthermore, closed-form transfer function representation of the model predictive control …

… It is necessary to understand the existing methods and strategies commonly used in predictive
control, as well as the specified structures and research branches deriving from them. It is …

… It will be referred to as the Internal Model Control (IMC) structure in this paper. Here P is the
plant,/; a model of the plant and Q (Q1 and Qe) the controller(s), y is the measured output, r …

… the secondary measurements to use for the model predictive control of Kappa ~4.15 In this
study, … The closed-loop Kappa I~ performance of the MRMPC using different control structure …