Implementing control schemes for modular multilevel converters (M2Cs) involves both a
cyber and a physical level, leading to a cyber-physical system (CPS). At the cyber level, a …

The existing uncertainties during the operation of processes could strongly affect the
performance of forecasting systems, control strategies and fault detection systems when they are …

This paper presents a two-level hierarchical energy management system (EMS) for microgrid
operation that is based on a robust model predictive control (MPC) strategy. This EMS …

This paper presents a hybrid adaptive predictive control approach that includes future information
in real-time routing decisions in the context of a dynamic pickup and delivery problem (…

Polytopic dynamics have been introduced into the predictions in Model Predictive Control (MPC)
and have been optimized so as to maximize invariant ellipsoids for systems subject to …

This paper presents a methodology based on generic evolutionary algorithms to solve a
dynamic pickup and delivery problem formulated under a hybrid predictive control approach. …

As environmental awareness grow, many organizations seek to implement Electric Vehicle (EV)
fleets. Nonetheless, EVs’ low driving ranges and high recharging times, and the limited …

The adoption of Electric Vehicles (EVs) has substantially increased during the last decade,
creating the need for customized EV-oriented routing strategies capable of using the …

The modular multilevel converter (MMC) is a prominent solution for medium- to high-voltage
and high-power conversion applications. Recently, distributed control strategies have been …

This article presents a novel scheme based on distributed model-based predictive control
for the secondary level control of hybrid ac/dc microgrids (MGs). Prediction models based on …