In this paper, we discuss the model predictive control algorithms that are tailored for
uncertain systems. Robustness notions with respect to both deterministic (or set based) and …

This paper presents a thorough review of control technologies that have been applied to
wastewater treatment processes in the environmental engineering regime in the past four …

In chemical process operation, the purpose of control is to achieve optimal process
operation despite the presence of significant uncertainty about the plant behavior and …

The optimization of batch processes has attracted attention in recent years because, in the
face of growing competition, it is a natural choice for reducing production costs, improving …

This book has been conceived to progressively introduce concepts of increasing difficulty
and allow learning of theories and control methods in a way which is not too brutal. It …

Dynamic optimization of waterflooding using optimal control theory has significant potential
to increase ultimate recovery, as has been shown in various studies. However, optimal …

A reference on the development and state-of-the-art in optimal greenhouse control, this book
focuses on model-based methods to achieve the best economic result. The authors discuss …

In the last years, the use of an economic cost function for model predictive control (MPC) has
been widely discussed in the literature. The main motivation for this choice is that often the …

Fast charging is a desirable feature for lithium-ion batteries. Charging at high currents,
however, can damage the battery and accelerate aging processes. Fast charging protocols …

The recognition that optimal control trajectories for batch processes can be highly sensitive
to model uncertainties has motivated the development of methods for explicitly addressing …