As the smart grid evolves, it requires increasing distributed intelligence, optimization and
control. Model predictive control (MPC) facilitates these functionalities for smart grid …

Virtual Power Plants (VPPs) have emerged as a modern real-time energy management
architecture that seeks to synergistically coordinate an aggregation of renewable and non …

There has been an increasing interest in using model predictive control (MPC) for power
electronic applications. However, the exponential increase in computational complexity and …

Over the past decade, the high penetration of renewable-based distributed generation (DG)
units has witnessed a considerable rise in electrical networks. In this context, direct current …

Finite control set model-predictive control appears an interesting and effective control
technique for cascaded H-bridge converters but, because of its computational complexity …

Meshed offshore grids (MOGs) present a viable option for a reliable bulk power transmission
topology. The station-level control of MOGs requires faster dynamics along with multiple …

This article develops a robust packetized predictive control framework to deal with the
quantized-feedback control problem of networked systems subject to Markovian packet …

Model predictive control (MPC) methods have attracted growing attention in modular
multilevel converter (MMC) systems due to their fast dynamic response, straightforward …

High-speed parallel manipulators are characterized by fast sampling rates and challenges
owing to the presence of constraints, high nonlinearities, uncertainties, and fast dynamics …

An accurate definition of a system model significantly affects the performance of model-
based control strategies, for example, model predictive control (MPC). In this paper, a model …