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

Shaofu YANG ¹Wenying XU ²Wangli HE ³Jinde CAO²

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作者信息

1. School of Computer Science and Engineering,Southeast University,Nanjing 211189,China
2. School of Mathematics,Southeast University,Nanjing 211189,China
3. Key Laboratory of Advanced Control and Optimization for Chemical Processes,East China University of Science and Technology,Shanghai 200237,China
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Abstract

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.

Key words

noncooperative games/event-triggered communication/coding-decoding/quantization

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基金项目

National Natural Science Foundation of China(62173087)

National Natural Science Foundation of China(62176056)

National Natural Science Foundation of China(12326311)

Young Elite Scientists Sponsorship Program by the China Association for Science and Technology(2021QNRC001)

Joint Fund of Ministry of Education for Equipment Preresearch(8091B022234)

Joint Fund of Ministry of Education for Equipment Preresearch(8091B030723)

Fundamental Research Funds for the Central Universities,and Alexander von Humboldt Foundation of Germany()

出版年

2024

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

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