The chemical processing industry has relied on modeling techniques for process monitoring,
control, diagnosis, optimization, and design, especially since the third industrial revolution …

Hybrid semi-parametric models consist of model structures that combine parametric and
nonparametric submodels based on different knowledge sources. The development of a …

Process modeling began with the use of first principles resulting in 'white-box'models which
are complex but accurately explain the dynamics of the process. Recently, there has been …

In many industrial plants, development and implementation of advanced monitoring and
control techniques require real-time measurement of process quality variables. However, on …

This is a book for those operating and studying biological wastewater treatment plants. It
introduces the state-of-the-art in process systems analysis (modelling and simulation …

This tutorial and review of multi-objective optimization (MOO) gives a detailed explanation of
the 5 steps to create, solve, and then select the optimum result. Unlike single-objective …

Almost all process systems are nonlinear in nature. Nonlinear control is traditionally an area
of interest in process systems engineering which is of great practical importance. These facts …

In recent years, process intensification (PI) has attracted considerable academic interest as
a potential means for process improvement, to meet the increasing demands for sustainable …

Abstract Model building and parameter estimation are traditional concepts widely used in
chemical, biological, metallurgical, and manufacturing industries. Early modeling …

Process systems engineering (PSE) has been an active research field for almost 50 years.
Its major achievements include methodologies and tools to support process modeling …