Three decades have passed since milestone publications by several industrialists spawned
a flurry of research and industrial/commercial activities on model predictive control (MPC) …

This paper presents a formulation of generalized predictive control (GPC), easy to
implement and tune, that is valid for the majority of industrial processes. The method makes …

The series Advances in Industrial Control aims to report and encourage technology transfer
in control engineering. The rapid development of control technology has an impact on all …

Motivated by a specific manufacturing problem in 1990, Exxon Chemical Company
embarked on the development of a nonlinear multivariable model-based predictive …

Model-based predictive control (MPC) has proved to be a fertile area of research. It has
gained enormous success within industry, especially in the context of process control …

A guide to all practical aspects of building, implementing, managing, and maintaining MPC
applications in industrial plants Multivariable Predictive Control: Applications in Industry …

Abstract Model-based predictive control (MPC) describes a set of advanced control
methods, which make use of a process model to predict the future behavior of the controlled …

This paper provides an overview of commercially available model predictive control (MPC)
technology, both linear and nonlinear, based primarily on data provided by MPC vendors. A …

Abstract Model predictive control (MPC) refers to a class of computer control algorithms that
utilize an explicit mathematical model to optimize the predicted behavior of a process. At …

This book fills the gap between basic control configurations (Practical Process Control) and
model predictive control (MPC). For those loops whose performance has a direct impact on …