Optimal Control of Networked Evolutionary Games With Bankruptcy Risk

被引：2
|
作者：
Li, Xinling [1 ,2 ]
Deng, Lei [1 ,3 ]
Zhao, Jianli [1 ,3 ]
机构：
[1] Liaocheng Univ, Sch Math Sci, Liaocheng 252026, Shandong, Peoples R China
[2] Univ Elect Sci & Technol China, Sch Math Sci, Chengdu 611731, Peoples R China
[3] Res Ctr Semitensor Prod Matrices Theory & Applica, Liaocheng 252026, Shandong, Peoples R China
来源：
IEEE ACCESS | 2020年 / 8卷
基金：
中国国家自然科学基金;
关键词：
Bankruptcy risk; state feedback control; networked evolutionary games; semi-tensor product; optimal control; MATRIX APPROACH; COOPERATION; STABILIZATION; OPTIMIZATION;
D O I：
10.1109/ACCESS.2020.3008198
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper studies the optimal control problem for a class of networked evolutionary games (NEGs) with bankruptcy risk. Firstly, an algebraic expression is formulated for the given NEGs via the semi-tensor product. Then, the optimal control problem is discussed, and a state feedback controller is designed to maximize the long-run average payoff of the game. Finally, an illustrative example is presented to show the effectiveness of the obtained new results.
引用
收藏
页码：125806 / 125813
页数：8
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