An overview of the recent results on economic model predictive control (EMPC) is presented
and discussed addressing both closed-loop stability and performance for nonlinear systems …

In this paper, we provide a tutorial review of recent results in the design of distributed model
predictive control systems. Our goal is to not only conceptually review the results in this area …

Smart Manufacturing is the dramatically intensified and pervasive application of networked
information-based technologies throughout the manufacturing and supply chain enterprise …

Economic model predictive control (EMPC) is a variant of model predictive control aimed at
maximization of system's profitability. It allows one to explicitly deal with hard and average …

The aim of this paper is to review and to propose a classification of a number of
decentralized, distributed and hierarchical control architectures for large scale systems …

The goal of most current advanced control systems is to guide a process to a target setpoint
rapidly and reliably. Model predictive control has become a popular technology in many …

Abstract Model predictive control (MPC) has become one of the most popular control
techniques in the process industry mainly because of its ability to deal with multiple-input …

Integration of real-time optimization and control with higher level decision-making
(scheduling and planning) is an essential goal for profitable operation in a highly …

Standard model predictive control (MPC) yields an asymptotically stable steady-state
solution using the following procedure. Given a dynamic model, a steady state of interest is …

In this work, we develop model predictive control (MPC) designs, which are capable of
optimizing closed‐loop performance with respect to general economic considerations for a …