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网络分布式k路点覆盖的空间博弈方法

齐龙 李翔

控制理论与应用2026,Vol.43Issue(2):239-248,10.
控制理论与应用2026,Vol.43Issue(2):239-248,10.DOI:10.7641/CTA.2024.30734

网络分布式k路点覆盖的空间博弈方法

Spatial game approach for the distributed k-path vertex cover of networks

齐龙 1李翔2

作者信息

  • 1. 复旦大学信息科学与工程学院自适应网络与控制研究室,上海 200433
  • 2. 同济大学上海自主智能无人系统科学中心复杂网络与智能系统研究所,上海 201210
  • 折叠

摘要

Abstract

As a significant branch of covering problems on networks,many difficulties encountered in real-world complex systems can be viewed as instances of the k-path vertex cover problem.In distributed systems,one of the crucial research issues to achieve network covering optimization is how to design decentralized strategies for autonomous decision-making by agents.In this paper,the k-path vertex cover problem is modeled as a spatial game on networks,where individual vertices act as rational agents and communicate exclusively with their neighbors.This study analyzes the relationship between strong Nash equilibrium(SONE)and the k-path vertex cover state within the context of non-cooperative games.Additionally,the proposed game-based synchronous aspiration-driven algorithm(GSAA)is shown to converge to SONEs of the four-player coalitions within finite time.The effectiveness of the algorithm is validated through numerical simulations.In the context of the k-path vertex cover problem,the link between solutions and game equilibria is examined from a coalition-based perspective.This paper introduces a novel approach for solving distributed optimization problems with local coupling constraints on networks within the framework of game theory.

关键词

复杂网络/k路点覆盖/空间博弈/分布式优化/强纳什均衡

Key words

complex networks/k-path vertex cover/spatial game/distributed optimization/strong Nash equilibrium

引用本文复制引用

齐龙,李翔..网络分布式k路点覆盖的空间博弈方法[J].控制理论与应用,2026,43(2):239-248,10.

基金项目

国家自然科学基金区域创新发展联合基金项目(U23A20331)资助.Supported by the Joint Fund for Regional Innovation and Development of the National Natural Science Foundation of China(U23A20331). (U23A20331)

控制理论与应用

1000-8152

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