Multiplayer Reach-Avoid Games via Pairwise Outcomes

被引:134
作者
Chen, Mo [1 ]
Zhou, Zhengyuan [2 ]
Tomlin, Claire J. [1 ]
机构
[1] Univ Calif Berkeley, Dept Elect Engn & Comp Sci, Berkeley, CA 94720 USA
[2] Stanford Univ, Dept Elect Engn, Stanford, CA 94305 USA
基金
美国国家科学基金会;
关键词
Agents and autonomous systems; computational methods; cooperative control; game theory; nonlinear systems;
D O I
10.1109/TAC.2016.2577619
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
A multiplayer reach-avoid game is a differential game between an attacking team with N-A attackers and a defending team with N-D defenders playing on a compact domain with obstacles. The attacking team aims to send M of the NA attackers to some target location, while the defending team aims to prevent that by capturing attackers or indefinitely delaying attackers from reaching the target. Although the analysis of this game plays an important role in many applications, the optimal solution to this game is computationally intractable when N-A > 1 or N-D > 1. In this technical note, we present two approaches for the N-A = N-D = 1 case to determine pairwise outcomes, and a graph theoretic maximum matching approach to merge these pairwise outcomes for an N-A, N-D > 1 solution that provides guarantees on the performance of the defending team. We will show that the four-dimensional Hamilton-Jacobi-Isaacs approach allows for real-time updates to the maximum matching, and that the two-dimensional "path defense" approach is considerably more scalable with the number of players while maintaining defender performance guarantees.
引用
收藏
页码:1451 / 1457
页数:7
相关论文
共 17 条
[1]  
[Anonymous], 2002, Applied Mathematical Sciences
[2]   Linear-programming-based multi-vehicle path planning with adversaries [J].
Chasparis, GC ;
Shamma, JS .
ACC: PROCEEDINGS OF THE 2005 AMERICAN CONTROL CONFERENCE, VOLS 1-7, 2005, :1072-1077
[3]  
Dept. Air Force, 2009, US AIR FORC UNM AIRC
[4]   Reachability Calculations for Automated Aerial Refueling [J].
Ding, Jerry ;
Sprinkle, Jonathan ;
Sastry, S. Shankar ;
Tomlin, Claire J. .
47TH IEEE CONFERENCE ON DECISION AND CONTROL, 2008 (CDC 2008), 2008, :3706-3712
[5]   A decomposition approach to multi-vehicle cooperative control [J].
Earl, Matthew G. ;
D'Andrea, Raffaello .
ROBOTICS AND AUTONOMOUS SYSTEMS, 2007, 55 (04) :276-291
[6]  
Erzberger H., 2006, P INT C AER SCI, P1
[7]  
Huang H.G, 2012, THESIS
[8]  
Huang HM, 2011, IEEE INT CONF ROBOT, P1451, DOI 10.1109/ICRA.2011.5980264
[9]  
Isaacs R., 1967, DIFFERENTIAL GAMES
[10]  
Karpinski Marek., 1998, FAST PARALLEL ALGORI