Abstract Model predictive control (MPC) is a well-established control methodology in
chemical engineering, but the increasing complexity of chemical processes necessitates the …

The energy efficiency in the debutanizer reboiler combustion can be monitored from the
oxygen content of the flue gas of the reboiler. The measurement of the oxygen content can …

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 …

Liquified Petroleum Gas (LPG) is an oil refinery product that must adhere to quality
specifications with respect to certain impurities. Refineries apply an LPG purification process …

Starting from a critical problem in oil refineries, namely on-specs LPG production, we
propose a generic mathematical programming approach that incorporates flow and blending …

A nonlinear feedback linearizing control (FLC) strategy is proposed within the differential
geometric framework for temperature control of a refinery debutanizer column. The …

In this work, it is proposed an MPC control algorithm with proved robust stability for systems
with model uncertainty and output feedback. It is assumed that the operating strategy is such …

Sustainable chemical processes should meet three major performance aspects: economic
development, environmental impact and social good. 77 Economic metrics assess the …

The uncertainty issue in real-work optimization affects the level of optimization significantly.
Because most future uncertainties cannot be foreseen in advance, the optimization must …

This paper presents a contribution in multivariable predictive control. A new approach of
multi-model based control is presented. The controller used is the quasilinear multivariable …