• DocumentCode
    3743913
  • Title

    Strategy synchronization of multi-player systems

  • Author

    Ting Liu;Daizhan Cheng

  • Author_Institution
    Key Laboratory of Systems and Control, Academy of Mathematics and Systems Sciences, Chinese Academy of Sciences, Beijing 100190, China
  • fYear
    2015
  • Firstpage
    5456
  • Lastpage
    5461
  • Abstract
    Consider a controlled networked evolutionary game(NEG), where the agents consist of controlled ones and control ones. The controlled agents follow a simple rule, called the strategy updating rule, and the strategies of control agents need to be designed. The problem of synchronization is considered. First, an NEG is formulated as a dynamic system via algebraic state space representation (ASSR). Then two approached are proposed: (i)When the controls are allowed to use global information, the necessary and sufficient conditions are revealed. (ii) The aggregation of NEGs is proposed. The dynamics of each aggregated block of a partition is converted into a switched logical dynamic system. Then certain stabilization results for switched logical dynamic systems are obtained. Using the stabilization results to each blocks, a sufficient condition is obtained for the synchronization of overall NEGs. The second approach is suitable for large-scale NEGs.
  • Keywords
    "Synchronization","Games","Switches","Multi-agent systems","Artificial neural networks","Aerospace electronics"
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control (CDC), 2015 IEEE 54th Annual Conference on
  • Type

    conf

  • DOI
    10.1109/CDC.2015.7403074
  • Filename
    7403074