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
Link To Document :
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