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

Plug-in hybrid electric vehicles (PHEV) are expected to become widespread in the near
future. However, high penetration of PHEVs can overload the distribution system. In smart …

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 …

This article proposes a distributed model predictive control (DMPC) strategy for a class of
large-scale systems composed of several interacting subsystems. When a certain subsystem …

We consider the problem of designing distributed controllers to guarantee dissipativity of a
networked system comprised of dynamically coupled subsystems. We require that the …

We address the problemof controlling interconnected, possibly large-scale systems of
systems using distributed model predictive control. We consider the case in which the …

Learning cooperative policies for multi-agent systems is often challenged by partial
observability and a lack of coordination. In some settings, the structure of a problem allows a …

This paper presents a predictive controller for handling plug-and-play (P&P) charging
requests of electric vehicles (EVs) in a distribution system. The proposed method uses a two …

The modular open-source framework GRAMPC-D for model predictive control of distributed
systems is presented in this paper. The modular concept allows to solve optimal control …

Heavy duty vehicle (HDV) platooning has been widely accepted as a solution to reduce fuel
consumption and traffic congestion. However, the control strategy for HDV platoons …