In this paper, linear parameter-varying (LPV) control is considered for a solution
copolymerization reactor, which takes into account the time-varying nature of the parameters …

In this paper, a linear parameter-varying (LPV) model of a solution copolymerization reactor
is developed by taking into consideration the time-varying nature of the parameters in the …

Presents an implementation of a model predictive control (MPC) algorithm using piecewise
linear models on an industrial case study: solution copolymerization of methylmethacrylate …

Polymerization processes are characterized by exothermic reactions with complicated
nonlinear dynamics, especially in batch/semi-batch mode. The complexities of the …

A control system is designed for a copolymerization reactor using a combination of
feedforward, ratio, and feedback control to regulate polymer production rate, copolymer …

Dynamic model development and control of an existing operating industrial continuous bulk
free radical styrene polymerization process are carried out to evaluate the performance 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 …

A modified generic model controller is developed and tested through a simulation study. The
application involves model-based control of a propylene polymerization reactor in which the …

A reliable multivariable model of a process is a fundamental prerequisite for the design of an
efficient control strategy. Though, such a model is often very hard to obtain via a first …

Two formulations of a nonlinear model predictive control scheme based on the second-order
Volterra series model are presented. The first formulation determines the control action …