We address the problem to control a population of noncooperative heterogeneous agents,
each with convex cost function depending on the average population state, and all sharing a …

This paper considers decentralized control and optimization methodologies for large
populations of systems, consisting of several agents with different individual behaviors …

The potential for widespread adoption of plug-in electric vehicles (PEVs) brings with it the
potential for negative impacts on the electric grid from electric vehicle charging …

This paper considers two classes of large population stochastic differential games
connected to optimal and robust decentralized control of large-scale multiagent systems …

This paper presents a decentralized control strategy for the scheduling of electrical energy
activities of a microgrid composed of smart homes connected to a distributor and …

In this paper, we consider discrete-time dynamic games of the mean-field type with a finite
number N of agents subject to an infinite-horizon discounted-cost optimality criterion. The …

A mean-field-type game is a game in which the instantaneous payoffs and/or the state
dynamics functions involve not only the state and the action profile but also the joint …

We consider aggregative games with affine coupling constraints, where agents have partial
information on the aggregate value and can only communicate with neighboring agents. We …

We show that projected-gradient methods for the distributed computation of generalized
Nash equilibria in aggregative games are preconditioned forward-backward splitting …

This paper develops a decentralized competitive charging coordination algorithm for a large
population of plug-in electric vehicles (PEVs) using the concept of a mean-field (MF) game …