Model Predictive Control (MPC) is the most commonly advanced control technique applied in the chemical process industries. In this Webinar, basic feedback control principles are reviewed using a simple surge tank example. Important challenges in petroleum refining and other large-scale chemical processes, which largely led to the development of MPC algorithms, are discussed. Next, the fundamental framework for MPC, based on optimization concepts, is developed, and low-order, constrained examples are used to illustrate the main points. Finally, selected MPC applications, including the development of a closed-loop artificial pancreas, are presented.