The development of AC distribution systems provides for the seamless integration of low-
voltage microgrids with distributed energy resources (DERs). This poses new challenges for …

Distributed model predictive control (DMPC) schemes have become a popular choice for
networked control problems. Under this approach, local controllers use a model to predict its …

This article proposes a real-time implementation of distributed model predictive controllers to
maximize the thermal energy generated by parabolic trough collector fields. For this control …

This paper presents a clustering-based model predictive controller for optimizing the heat
transfer fluid (HTF) flow rates circulating through every loop in solar parabolic trough plants …

This article presents a distributed implementation of a model predictive controller with
information exchange to manage a distributed networked system of coupled dynamic …

With an increasing influx of classical signal processing methodologies into the field of graph
signal processing, approaches grounded in discrete linear canonical transform have found …

Abstract A systematic Agglomerative Hierarchical Clustering (AHC) approach based on
minimal Robust Positively Invariant (mRPI) sets is presented for decomposing linear …

This study addresses a distributed state feedback controller design problem for continuous-
time linear time-invariant systems by means of linear matrix inequalities (LMI). As the exact …

In this paper we propose a comparative analysis of control efficiency for several methods
suitable for a vehicle platooning application. To this end, we compare the results obtained …

Operation optimization for large-scale offshore wind farms can cause the fatigue loads of
single wind turbines to exceed their limits. This study aims to improve the economic profit of …