Distributed Nash Equilibrium Seeking of Aggregative Games for High-Order Systems

被引：0

作者：

Zheng, Zhongqing ^{[1
]}

Zhang, Yanqiong ^{[2
]}

Zhang, Bin ^{[3
]}

Yin, Rui ^{[4
]}

机构：

[1] Zhejiang Gongshang Univ, Sch Informat & Elect Engn, Hangzhou 310018, Peoples R China

[2] Hangzhou Dianzi Univ, Sch Automat, Hangzhou 310018, Peoples R China

[3] Natl Univ Def & Technol, Coll Informat & Commun, Changsha 430010, Peoples R China

[4] Zhejiang Univ City Coll, Sch Elect & Commun Engn, Hangzhou 310018, Peoples R China

来源：

PROCEEDINGS OF THE 39TH CHINESE CONTROL CONFERENCE | 2020年

关键词：

Embedded technology; aggregative game; Nash equilibrium; EL systems; high-order linear systems; ALGORITHMS; DESIGN;

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, the Nash equilibrium seeking (NES) problem of aggregative games is investigated for high-order multi-agents systems, where the cost function for each agent depends on its decision variable and the aggregate of all other decisions. To solve the problem, we employ the embedded technology to decouple the primal problem into two parts: decision planning and tracking. We first construct a single integrator system for the NES to generate the optimal reference decision trajectory, and then we propose the distributed algorithms to make the nonlinear Euler-Lagrange (EL) systems and the general high-order linear system track the optimal reference decision path, respectively. Finally, simulations are given to validate the effectiveness of the theoretical analysis.

引用

页码：4789 / 4794

页数：6

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