In this paper, we propose a NMPC scheme based on NARX-Laguerre model in its discrete-
time structure in order to control the pH neutralization process. This model is the result of the …

In this paper, the development and application of a robust MPC to a pilot plant ethanol–
water distillation column is described. It is shown through experimental tests in the pilot …

This work aims to achieve flooding free control for an industrial ethylene splitter. The tower
operates close to maximum capacity and experiences flooding due to feed disturbances …

The problem of identifying and therefore modelling a complex system makes use of various
techniques and strategies whose computational efforts change drastically. It is not …

Distillation and absorption processes are characterized by a large number of state variables.
In order to reconstruct and predict these state variables under off-design and limited …

In this paper, we present an innovative strategy for nonlinear model predictive control by
employing a discrete-time NARX-Laguerre model. This latter model is crafted through the …

The paper presents a methodology to model the nonlinearity associated with the error in
measurement of energy metering system using nonlinear autoregressive with exogenous …

Distillation columns are fairly complex multivariable systems and needs to be controlled
close to optimum operating conditions because of economic incentives. Nonlinear Model …

This work describes a fast Model Predictive Control (MPC) algorithm in which Long Short-
Term Memory (LSTM) networks are used to model dynamical processes. To obtain a …

Developing a suitable nonlinear model is the most challenging problem in the application of
nonlinear model based controllers to distillation column. Hammerstein model consists of a …