In this contribution we study the application of non-linear model predictive control to a
continuous polymerization of acrylic acid in tubular reactors with multiple side injections of …

In this contribution we study the application of non-linear model-based optimizing control to
the continuous polymerization of acrylic acid in a tubular reactor. Multiple side injections of …

Abstract Model-based control methods like nonlinear model predictive control (NMPC) is a
promising approach to control complex chemical processes. While there are many …

In the last years, the use of an economic cost function for model predictive control (MPC) has
been widely discussed in the literature. The main motivation for this choice is that often the …

A subspace-based identification method of the Wiener model, consisting of a state-space
linear dynamic block and a polynomial static nonlinearity at the output, is used to retrieve the …

In this work, a model of a semibatch poly (ethylene terephthalate) reactor in which dimethyl
therephthalate (DMT) and ethylene glycol (EG) react during the transesterification stage is …

Increasing worldwide market competitiveness and reduced profit margins are pressing
chemical and process industries to move towards a predictive control approach, based on …

Abstract Model Predictive Control (MPC) is established as the most powerful and most
successful method for multivariable control in the process industries. Most industrial …

A nonlinear model predictive control has been developed and applied to an industrial
polypropylene semi-batch reactor and a high density polyethylene continuous stirred tank …

This article considers the design of a multivariable model-on-demand predictive controller
(MoD-PC) and its application to polymer quality control in a semibatch MMA/MA …