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

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

In the present work, an adaptive Artificial Neural Network (ANN) model based Generic
Model Control (GMC)[ANNGMC] scheme is proposed for nonlinear processes. The …

The control of solution coplymerization continuous stirred tank reactor is one of the most
complex problems of chemical industry. As a first approach, this system had a mathematical …

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 …

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

The performance analysis of three advanced non linear controllers is the main focus of this
paper. All three controllers are applied for the control of a batch polymerisation reactor which …

A strategy is proposed for estimating and controlling properties of a styrene/butadiene
rubber (SBR) latex produced in a semi-batch reactor operation. The suboptimal nonlinear …

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 …

Optimal operation of batch processes in the presence of uncertainty has been an area of
significant research interest. The use of online measurements as a source of information …