This paper demonstrates the application of the linear parameter-varying (LPV) framework to
control a copolymerization reactor. An LPV model representation is first developed for a …

Controlling the operation of polymer reactors is a highly important task that aims at
maximizing the production rate and the product quality and also minimizing the transition …

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 …

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 …

The main focus of this thesis is the development of continuous and discrete-time nonlinear
model based controllers that effectively and efficiently address two major limitations in the …

A nonlinear model predictive control scheme based on the second-order Volterra model is
presented. Formulations using successive substitution and direct solution of a nonlinear …

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

Modeling and control of prototypical industrial polymerization processes are presented in
the presence of disturbances and plant‐model mismatch. The process model consists of the …

This paper presents a two-step method for control-relevant model reduction of Volterra
series models. First, using the nonlinear IMC design as a basis, an explicit expression …