Decentralised dynamic games for large population stochastic multi‐agent systems-Reference-Cited by-同舟云学术

Decentralised dynamic games for large population stochastic multi‐agent systems

Published:2015-02 Issue:3 Volume:9 Page:503-510
ISSN:1751-8652
Container-title:IET Control Theory & Applications
language:en
Short-container-title:IET Control Theory & Applications

Author:

Wang Xuehe¹,Xiao Nan²,Xie Lihua¹,Frazzoli Emilio³,Rus Daniela⁴

Affiliation:

1. School of Electrical and Electronic Engineering, Nanyang Technological UniversitySingapore639798Singapore

2. Singapore‐MIT Alliance for Research and TechnologySingapore138602Singapore

3. Laboratory for Information and Decision Systems, Massachusetts Institute of TechnologyCambridgeMA02139USA

4. Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of TechnologyCambridgeMA02139USA

Funder

National Research Foundation Singapore

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Control and Optimization,Computer Science Applications,Human-Computer Interaction,Control and Systems Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-cta.2014.0625

Reference30 articles.

1. Noise‐induced transition from translational to rotational motion of swarms;Erdmann U.;J. Phys. Rev. E,2005

2. Differential game models of advertising competition

Cited by 9 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Distributed Nash Equilibrium Seeking in Games With Partial Decision Information: A Survey;Proceedings of the IEEE;2023-02

2. Distributed Consensus of Stochastic Multi-agent Systems with Prescribed Performance Constraints;2021 60th IEEE Conference on Decision and Control (CDC);2021-12-14

3. Differentially Private Distributed Nash Equilibrium Seeking for Aggregative Games;IEEE Transactions on Automatic Control;2021

4. Stable multi‐player evolutionary game for two‐choice resource allocation problems;IET Control Theory & Applications;2019-04-05

5. Finite‐time consensus protocol for stochastic multi‐agent systems;IET Control Theory & Applications;2019-03-25