The measurement and control of polymerization reactors is very challenging due to the
complexity of the physical mechanisms and polymerization kinetics. In these reactors many …

This is a detailed review on olefin polymerization models, and the most recent process
control approaches used to control these nonlinear systems are presented. Great focus has …

This paper details development of a Model Predictive Control (MPC) algorithm for a boiler-
turbine unit, which is a nonlinear multiple-input multiple-output process. The control …

A modulating heat pump and water tank result in a nonlinear model due to the load
dependency of the heat pump performance, and variable water flows. Nonlinear model …

A model predictive control (MPC) strategy is presented to determine the optimal control
decisions for the short-term refinery scheduling problem. For cases where process …

This paper discusses a nonlinear Model Predictive Control (MPC) algorithm for multiple-
input multiple-output dynamic systems represented by cascade Hammerstein–Wiener …

This work presents the analysis of a slurry polymerization stirred tank reactor for the
production of high-density polyethylene. A coordination mechanism is adopted including …

This paper is concerned with computationally efficient nonlinear model predictive control
(MPC) of dynamic systems described by cascade Wiener–Hammerstein models. The Wiener …

This paper presents a fuzzy model-based predictive hybrid controller (FMPHC) for
polymerization processes based on Takagi− Sugeno models and moving horizon …

In this study, a predictive control system based on type Takagi‐Sugeno fuzzy models was
developed for a polymerization process. Such processes typically have a highly nonlinear …