Modeling and optimization of a class of networked evolutionary games with random entrance and time delays

被引：1
|
作者：
Tang, Yu [1 ]
Li, Lulu [1 ]
Lu, Jianquan [2 ]
机构：
[1] Hefei Univ Technol, Sch Math, Hefei 230009, Peoples R China
[2] Southeast Univ, Sch Math, Nanjing 210096, Peoples R China
来源：
2020 CHINESE AUTOMATION CONGRESS (CAC 2020) | 2020年
关键词：
Networked evolutionary games(NEGs); Semi-tensor product(STP); Random entrance; Finite memories;
D O I：
10.1109/CAC51589.2020.9327005
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper. a class of networked evolutionary games(NEGs) with both random entrance and time delays is studied. First, under some proper assumptions, the algebraic expressions for the given NEGs are obtained via the semi-tensor product(STP) method. Furthermore, using receding horizon control method, the maximun possible expected payoff of the major player is calculated, in which the major player's tau-step strategy is considered as a free-type control. Finally, an illustrate example is given to support our new results.
引用
收藏
页码：4007 / 4012
页数：6
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