The data traffic volume of the 6th generation (6G) mobile communication networks is huge,
and there are novel challenges in various communications services and scenarios. This …

This article proposes two decentralized multiagent optimal control methods that combine the
computational efficiency and scalability of differential dynamic programming (DDP) and the …

Smart devices (SDs) used in the Industrial Internet of Things can generate computational
tasks for processing the data generated during production. However, due to the limited …

This article considers the problem of motion coordination for a multiagent (MA) network
whose goal is to track a large-scale multitarget (MT) system in a region populated by …

In this paper, a distributed swarm control problem is studied for large-scale multi-agent
systems (LS-MASs). Different than classical multi-agent systems, an LS-MAS brings new …

We propose a mean field game model to study the stability of production adjustment by
extending a kind of linear quadratic Gaussian game in large population systems. First, we …

In this article, a decentralized optimal tracking control problem has been studied for a large-
scale autonomous vehicle system with heterogeneous system dynamics. Due to the …

Multi-population mean-field game is a critical subclass of mean-field games (MFGs). It is a
theoretically feasible multi-agent model for simulating and analyzing the game between …

Learning for efficient coordination in large-scale multiagent systems suffers from the problem
of the curse of dimensionality due to the exponential growth of agent interactions. Mean …

This paper considers a mean field game of energy storage devices (ESDs) in power
systems, where electrovalency is affected by the storage population. The competition …