首页|Distributed generalized Nash equilibrium seeking:event-triggered coding-decoding-based secure communicat ion

Distributed generalized Nash equilibrium seeking:event-triggered coding-decoding-based secure communicat ion

扫码查看
原文链接
  • NETL
  • NSTL
  • 万方数据
In this paper,we consider the distributed generalized Nash equilibrium(GNE)seeking problem in strongly monotone games.The transmission among players is implemented through a digital communication network with limited bandwidth.For improving communication efficiency or/and security,an event-triggered coding-decoding-based communication is first proposed,where the data(decision variable)are first mapped to a series of finite-level codewords and,only when an event condition is satisfied,then sent to the neighboring agents.Moreover,a distributed communication-efficient GNE seeking algorithm is constructed accordingly,and the overrelaxation scheme is further taken into consideration.Through primal-dual analysis,the proposed algorithm is proven to converge to a variational GNE with fixed step-sizes by recasting it as an inexact forward-backward iteration.Finally,numerical simulations illustrate the benefit of the proposed algorithms in terms of saving communication resources.

noncooperative gamesevent-triggered communicationcoding-decodingquantization

Shaofu YANG、Wenying XU、Wangli HE、Jinde CAO

展开 >

School of Computer Science and Engineering,Southeast University,Nanjing 211189,China

School of Mathematics,Southeast University,Nanjing 211189,China

Key Laboratory of Advanced Control and Optimization for Chemical Processes,East China University of Science and Technology,Shanghai 200237,China

National Natural Science Foundation of ChinaNational Natural Science Foundation of ChinaNational Natural Science Foundation of ChinaYoung Elite Scientists Sponsorship Program by the China Association for Science and TechnologyJoint Fund of Ministry of Education for Equipment PreresearchJoint Fund of Ministry of Education for Equipment PreresearchFundamental Research Funds for the Central Universities,and Alexander von Humboldt Foundation of Germany

6217308762176056123263112021QNRC0018091B0222348091B030723

2024

10.1007/s11432-023-4009-4

中国科学:信息科学(英文版)
中国科学院

中国科学:信息科学(英文版)

CSTPCDEI
影响因子：0.715
ISSN：1674-733X
年,卷(期)：2024.67(7)