The problem of controlling a liquid–gas separation process is approached by using LPV
control techniques. An LPV model is derived from a nonlinear model of the process using …

We study the control of a solution copolymerization reactor using a model predictive control
algorithm based on multiple piecewise linear models. The control algorithm is a receding …

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 …

Scheduling and control problems are traditionally solved sequentially. However, integration
of both problems can result in a better overall performance. A main challenge in the …

In this paper a comparison between a linear-model-based and a bilinear-model-based
identification and predictive control methodology is presented. Input-output data from a …

Polymer science is the underlying topic of this master's thesis, and the main scope is to
develop and deploy models for on-line optimization and control for polymerization reactors …

In this experimental work, the globally linearizing control (GLC) method is implemented on a
micro-computer to control conversion and temperature in a continuous stirred tank reactor by …

A plant-wide control strategy based on integrating linear model predictive control (LMPC)
and nonlinear model predictive control (NMPC) is proposed. The hybrid method is …

A linear parameter-varying model (LPVM) is developed for nonlinear dynamic systems using
a radial basis function (RBF) neural network. The training of the LPVM is formulated as the …