Analysis and design of model predictive control frameworks for dynamic operation -- An overview

This article provides an overview of model predictive control (MPC)frameworks for dynamic operation of nonlinear constrained systems. Dynamicoperation is often an integral part of the control objective, ranging fromtracking of reference signals to the general economic operation of a plantunder online changing time-varying operating conditions. We focus on theparticular challenges that arise when dealing with such more general controlgoals and present methods that have emerged in the literature to address theseissues. The goal of this article is to present an overview of thestate-of-the-art techniques, providing a diverse toolkit to apply and furtherdevelop MPC formulations that can handle the challenges intrinsic to dynamicoperation. We also critically assess the applicability of the differentresearch directions, discussing limitations and opportunities for furtherresearch.