Introduction

Abstract

The advances in hybrid predictive control (hereafter referred to as HPC) during the last decade have made this framework attractive for dealing with problems associated with the management of real-time operations involved in complex operational processes. In this sense, the problems that arise in the operation of transport systems have become of interest for applying not only the methodology, principles, and modeling techniques behind HPC but also in the use of several families of solution algorithms that are efficient in the context of HPC applications. Indeed, HPC is an extension of the model-based predictive control theory that, in general, pursues the optimization of a generic objective function that includes a prediction of the future behavior of the involved process.