[HTML][HTML] Distributed dynamic task allocation for unmanned aerial vehicle swarm systems: A networked evolutionary game-theoretic approach

Z Zhang, J Jiang, XU Haiyan, WA Zhang - Chinese Journal of Aeronautics, 2024 - Elsevier
Task allocation is a key aspect of Unmanned Aerial Vehicle (UAV) swarm collaborative
operations. With an continuous increase of UAVs' scale and the complexity and uncertainty …

Multi-agent control: A graph-theoretic perspective

F Chen, W Ren - Journal of systems science and complexity, 2021 - Springer
Progress in development of multi-agent control is reviewed. Different approaches for multi-
agent control, estimation, and optimization are discussed in a systematic way with particular …

Team-Fictitious Play for Reaching Team-Nash Equilibrium in Multi-team Games

AS Dönmez, Y Arslantaş, MO Sayin - The Thirty-eighth Annual …, 2024 - openreview.net
Multi-team games, prevalent in robotics and resource management, involve team members
striving for a joint best response against other teams. Team-Nash equilibrium (TNE) predicts …

Discrete-time selfish routing converging to the wardrop equilibrium

A Pietrabissa, LR Celsi - IEEE Transactions on Automatic …, 2018 - ieeexplore.ieee.org
This paper presents a discrete-time distributed and noncooperative routing algorithm, which
is proved, via Lyapunov arguments, to asymptotically converge to a specific equilibrium …

Team Collaboration vs Competition: New Fictitious Play Dynamics for Multi-team Zero-Sum Games

AS Donmez, Y Arslantas, MO Sayin - arXiv preprint arXiv:2402.02147, 2024 - arxiv.org
This paper presents a new variant of fictitious play (FP) called team-fictitious-play (Team-FP)
that can reach equilibrium in multi-team competition, different from the other variants of FP …

Decentralized targeting control of collinear agents

J Wu, W Pu, F Zhang, W Yu - Asian Journal of Control, 2022 - Wiley Online Library
In this paper, we deal with the decentralized targeting control problem of collinear agents in
three‐dimensional space. Here the direction half‐lines associated with these agents are not …

On stochastic imitation dynamics in large-scale networks

L Zino, G Como, F Fagnani - 2018 European Control …, 2018 - ieeexplore.ieee.org
We consider a broad class of stochastic imitation dynamics over networks, encompassing
several well known learning models such as the replicator dynamics. In the considered …

Information theory in multi-agent learning systems

DA Martínez Vásquez - repositorio.unal.edu.co
In this work, we propose a multi-agent learning framework based on the mutual information
between the agents and their environment. Initially, each agent, based on its neighborhood …