Abstracts Over the past few decades, advanced process control (APC) such as model
predictive control (MPC) has been introduced to process industry to enhance its operational …

Multicomponent liquid mixtures, particularly azeotropes, are extensively utilized in the
chemical, petroleum, pharmaceutical, and other processing industries. Energy-saving and …

With the global increase in food demand, closed and controlled greenhouses are an
essential source for year-round crop production. Maintaining the optimum conditions inside …

In the large-scale commercialization of proton exchange membrane fuel cells (PEMFC),
efficient control of the dynamic operation requires the consideration of complex …

The time variance and nonlinearity of forging processes pose great challenges to high-
quality production. In this study, a one-step-ahead model predictive control (MPC) strategy …

Big Data will revolutionize modern industry by improving process optimization, facilitating
insight discovery, and improving decision-making. This big data revolution presents a …

Actual statistics show that in recent years, more than 90% of the water distribution pipes
installed in the world are made of plastic, exclusively polyethylene (PE). Due to the …

This paper investigates the application of adaptive model predictive control (MPC) with
successive linearization for the control of top product purity of a batch distillation column …

The paper is devoted to advanced control of a tubular heat exchanger with focus to energy
savings. The controlled tubular heat exchanger (HE) was used for petroleum pre-heating by …

Distillation is fundamental in Chemical Engineering. It is a highly complex and non-linear
process. Therefore, developing intelligent control systems for distillation columns is …