Distributed Nash Equilibrium Seeking of A Class of Aggregative Games

被引：0
|
作者：
Liang, Shu [1 ]
Yi, Peng [2 ]
Hong, Yiguang [1 ]
机构：
[1] Chinese Acad Sci, Key Lab Syst & Control, Inst Syst Sci, Beijing 100190, Peoples R China
[2] Univ Toronto, Dept Elect & Comp Engn, Toronto, ON, Canada
来源：
2017 13TH IEEE INTERNATIONAL CONFERENCE ON CONTROL & AUTOMATION (ICCA) | 2017年
基金：
北京市自然科学基金; 中国博士后科学基金;
关键词：
OPTIMIZATION; ALGORITHMS; SYSTEMS;
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：
In this paper, we investigate a distributed Nash equilibrium seeking problem for a class of aggregative games that the strategic interaction is characterized by a sum of nonlinear mapping of heterogeneous local decisions. We consider non-quadratic local cost functions and constrained strategy sets. We propose a novel continuous-time distributed algorithm for equilibrium seeking based on dynamic average consensus protocol and projected gradient flows. By virtue of variational inequalities and Lyapunov functions, we show the convergence of our distributed algorithm for the aggregative game.
引用
收藏
页码：58 / 63
页数：6
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