Model-predictive control (MPC) is an optimization-based control technique that uses 1) a
mathematical model of a system to predict the system's behavior over a given horizon, 2) an …

Clustering strategies are becoming increasingly relevant to boost the scalability of
distributed control methods by focusing the cooperation efforts on highly coupled agents …

This paper performs an extensive review on control schemes and architectures applied to dc
microgrids (MGs). It covers multilayer hierarchical control schemes, coordinated control …

We propose a new decentralized control scheme for DC Islanded microGrids (ImGs)
composed of several Distributed Generation Units (DGUs) with a general interconnection …

This paper presents a new formulation and synthesis approach for stabilizing cooperative
distributed model predictive control (MPC) for networks of linear systems, which are coupled …

Distributed detection of covert attacks for linear large-scale interconnected systems is
addressed in this article. Existing results consider the problem in centralized settings. This …

We employ a novel data-enabled predictive control (DeePC) algorithm in voltage source
converter (VSC)-based high-voltage DC (HVDC) stations to perform safe and optimal wide …

In this paper, we propose a new decentralized control scheme for islanded microgrids
(ImGs) composed by the interconnection of distributed generation units (DGUs). Local …

The paper proposes a methodology to effectively address the increasingly important
problem of distributed fault-tolerant control for large-scale interconnected systems. The …

We consider the problem of stabilizing voltages in Direct Current (DC) microgrids given by
the interconnection of Distributed Generation Units (DGUs), power lines, and loads. We …