Efficient Algorithm for Approximating Nash Equilibrium of Distributed Aggregative Games

Author:

Xu Gehui1ORCID,Chen Guanpu2ORCID,Qi Hongsheng1,Hong Yiguang3ORCID

Affiliation:

1. School of Mathematical Sciences, University of Chinese Academy of Sciences, Beijing 101408, China, and also with the Key Laboratory of Systems and Control, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing 100190, China.

2. Guanpu Chen is with JD Explore Academy, Beijing 100176, China, and also with the Key Laboratory of Systems and Control, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing 100190, China.

3. Department of Control Science and Engineering, Shanghai Research Institute for Intelligent Autonomous Systems, Tongji University, Shanghai 200070, China, and also with the Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing 100190, China

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Shanghai Municipal Science and Technology Major Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

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

Cited by 13 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. Enable Microgrid Energy Management: A Graph Based Aggregative Game Approach;IEEE Transactions on Network Science and Engineering;2024-09

2. Non-Convex Potential Games for Finding Global Solutions to Sensor Network Localization;2024 European Control Conference (ECC);2024-06-25

3. Stackelberg and Nash Equilibrium Computation in Non-Convex Leader-Follower Network Aggregative Games;IEEE Transactions on Circuits and Systems I: Regular Papers;2024-02

4. Multiagent Multiobjective Decision Making and Game for Saving Public Resources;IEEE Transactions on Cognitive and Developmental Systems;2024-02

5. Consistency of Stackelberg and Nash Equilibria in Three-Player Leader-Follower Games;IEEE Transactions on Information Forensics and Security;2024

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3