In this paper, we provide a tutorial review of recent results in the design of distributed model
predictive control systems. Our goal is to not only conceptually review the results in this area …

Multi-agent systems can be used to address problems in a variety of domains, including
robotics, distributed control, telecommunications, and economics. The complexity of many …

In this paper, distributed model predictive control (MPC) based energy scheduling problem
is presented for islanded multi-microgrids. The objective is to achieve supply–demand …

In this paper, a serial distributed model predictive control (MPC) approach for connected
automated vehicles (CAVS) is developed with local stability (disturbance dissipation over …

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 …

The aim of this paper is to review and to propose a classification of a number of
decentralized, distributed and hierarchical control architectures for large scale systems …

This book examines the main components affecting the viability of a public-transport service
from both the passenger and agency perspectives, and offers solutions to well-known …

Abstract The Engineering Applications of Artificial Intelligence (EAAI) is a journal of very high
repute in the domain of Engineering and Computer Science. This paper gives a broad view …

Traditional transportation systems in metropolitan areas often suffer from inefficiencies due
to uncoordinated actions as system capacity and traffic demand change. With the pervasive …

For multi-agent systems with switching topologies, the work addresses the fault-tolerant
leader-following consensus issue. A semi-Markov chain is applied to describe randomly …