Stability and robustness analysis of minmax solutions for differential graphical games

被引:34
|
作者
Lopez, Victor G. [1 ]
Lewis, Frank L. [1 ]
Wan, Yan [2 ]
Liu, Mushuang [2 ]
Hewer, Gary [3 ]
Estabridis, Katia [3 ]
机构
[1] Univ Texas Arlington, UTA Res Inst, Ft Worth, TX 76118 USA
[2] Univ Texas Arlington, Dept Elect Engn, Arlington, TX 76010 USA
[3] Naval Air Warfare Ctr, Weap Div, China Lake, CA 93555 USA
关键词
Differential games; Minimax techniques; Robust control; Distributed control; Game theory; MULTIAGENT SYSTEMS; TRACKING CONTROL; CONSENSUS;
D O I
10.1016/j.automatica.2020.109177
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Recent studies have shown that, in general, Nash equilibrium cannot be achieved by the players of a differential graphical game by using distributed control policies. Alternative solution concepts that do not necessarily lead to Nash equilibrium can be proposed to allow the players in the game determine distributed optimal strategies. This paper analyzes the performance properties of the solution concept regarded as minmax strategies. The minmax formulation is shown to provide distributed control policies for linear systems under mild assumptions. The stability and robustness characteristics of the proposed solution are studied in terms of gain and phase margins, and related to the robustness properties of the single-agent LQR controller. The results of our analysis are finally tested by means of a simulation example. (C) 2020 Elsevier Ltd. All rights reserved.
引用
收藏
页数:10
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