In support of the growing interest in how to efficiently influence complex systems of
interacting self-interested agents, we present this review of fundamental concepts, emerging …

Recently, there has been an increasing interest in the control community in studying large-
scale distributed systems. Several techniques have been developed to address the main …

Population dynamics have been widely used in the design of learning and control systems
for networked engineering applications, where the information dependency among …

The increased complexity of the modern distribution system caused by the installation of a
large number of distributed energy resources, dictates the necessity for novel, decentralised …

The distributed task allocation problem, as one of the most interesting distributed
optimization challenges, has received considerable research attention recently. Previous …

This work proposes a novel data-driven distributed formation-control approach based on
multi-population evolutionary games, which is structured in a leader-follower scheme. The …

Distributed optimization problems are generally described as the minimization of a global
objective function in a system, where each agent can get information only from a …

In this paper we study the problem of approximating the general solution to an optimal
control problem whose dynamics arise from a 2× 2 skew-symmetric evolutionary game with …

In a multi-agent framework, distributed optimization problems are generally described as the
minimization of a global objective function, where each agent can get information only from …

We study the network replicator equation and characterize its fixed points on arbitrary graph
structures for 2× 2 symmetric games. We show a relationship between the asymptotic …