Linear-Quadratic Mean-Field-Type Games With Multiple Input Constraints

被引:13
|
作者
Barreiro-Gomez, Julian [1 ]
Duncan, Tyrone E. [2 ]
Tembine, Hamidou [1 ]
机构
[1] New York Univ Abu Dhabi, Engn Div, Learning & Game Theory Lab, Abu Dhabi 129188, U Arab Emirates
[2] Univ Kansas, Dept Math, Lawrence, KS 66044 USA
来源
IEEE CONTROL SYSTEMS LETTERS | 2019年 / 3卷 / 03期
基金
美国国家科学基金会;
关键词
Constrained mean-field-type games; mean-variance minimization; direct method;
D O I
10.1109/LCSYS.2019.2911662
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 letter, we study a class of constrained linear-quadratic mean-field-type games. The considered system dynamics are described including some mean-field terms, i.e., the expectation of both the system states and the control inputs. We obtain a semi-explicit solution for the problem by using the direct method in combination with some auxiliary dynamics that guarantee the satisfaction of the multiple input coupled constraints. Finally, a proof-of-concept example is presented in order to show the appropriate performance of the proposed approach.
引用
收藏
页码:511 / 516
页数:6
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