With the development of electric vehicle (EV) technologies, efficient and reliable use of
rechargeable batteries (RBs) has become the key subject for automotive manufacturers …

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 …

This paper studies the trajectory tracking control problem of an autonomous underwater
vehicle (AUV). We develop a novel Lyapunov-based model predictive control (LMPC) …

Batch process control represents a challenge given its dynamic operation over a large
operating envelope. Nonlinear model predictive control (NMPC) is the current standard for …

The control problem was formulated in the previous chapters considering all signals to
possess an unlimited range. This is not very realistic because in practice all processes are …

This paper provides an overview of commercially available model predictive control (MPC)
technology, both linear and nonlinear, based primarily on data provided by MPC vendors. A …

With decades of successful application of model predictive control (MPC) to industrial
processes, practitioners are now focused on ease of commissioning, monitoring, and …

The paper provides a reasonably accessible and self-contained tutorial exposition on model
predictive control (MPC). It is aimed at readers with control expertise, particularly …

This paper presents a review on the development and application of model predictive
control (MPC) for autonomous intelligent mechatronic systems (AIMS). Starting from the …

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 …