Distributed Variational Equilibrium Seeking of Multi-coalition Game via Variational Inequality Approach

Xianlin Zeng, Shu Liang, Yiguang Hong

Research output: Contribution to journalArticlepeer-review

5 Citations (Scopus)

Abstract

This paper studies the distributed variational equilibrium seeking problem for a class of multi-coalition non-cooperative games via a continuous-time algorithm. In the multi-coalition game, there are multiple coalitions and each coalition (a virtual player in the game) is composed of a set of agents, which are actual decision makers for their coalition and cooperate to minimize the coalition payoff function. To solve this problem, the variational equilibrium seeking problem for a multi-coalition game is first formulated as a distributed variational inequality problem. Then, a novel distributed projected continuous-time algorithm, which is in the form of a projected ordinary differential equation, is proposed to solve the distributed variational inequality. Finally, the algorithm is applied to a numerical example to show the efficacy of the proposed algorithm.

Original languageEnglish
Pages (from-to)940-945
Number of pages6
JournalIFAC-PapersOnLine
Volume50
Issue number1
DOIs
Publication statusPublished - Jul 2017
Externally publishedYes

Keywords

  • Distributed algorithms
  • distributed variational equilibria
  • multi-coalition games
  • variational inequalities

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