Nash Equilibrium Seeking with Second-Order Dynamic Agents

被引：0
|
作者：
Ibrahim, Adrianto Ravi [1 ]
Hayakawa, Tomohisa [1 ]
机构：
[1] Tokyo Inst Technol, Dept Syst & Control Engn, Tokyo 1528552, Japan
来源：
2018 IEEE CONFERENCE ON DECISION AND CONTROL (CDC) | 2018年
关键词：
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Game with second-order dynamic agents is explored for the case where the payoff function of each agent is concave and continuously differentiable. Several control laws that seek the Nash equilibrium by utilizing only the knowledge of each agent's payoff function are proposed. We use the results from a convex optimization framework to derive our control laws. We illustrate our approach with a numerical example.
引用
收藏
页码：2514 / 2518
页数：5
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