Analysis of a New Pursuit-Evasion Game Based on Game Theory

被引:0
作者
Chen, Hao [1 ]
Chen, Jing [1 ]
Zhang, Wanpeng [1 ]
Liu, Hongfu [1 ]
机构
[1] Natl Univ Def Technol, Coll Mechatron & Automat, Changsha, Hunan, Peoples R China
来源
2015 11TH INTERNATIONAL CONFERENCE ON NATURAL COMPUTATION (ICNC) | 2015年
关键词
Pursuit-Evasion Game; Zero-Sum Game; Nash Equilibrium; Pareto Optimal Security Strategy (POSS); True Proportional Navigation (TPN) Guidance; CAPTURE;
D O I
暂无
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
In this paper, we focus on a new pursuit-evasion game in which the evaders also act as intruders. We divide the game into two tasks. The first one is concerning about Intrusion, while the second one is about Safety of the evaders. Thus we formulate a multi-objective game model based on Nash Equilibrium of mixed strategies in order to find the Pareto Optimal Security Strategy for both kinds of agents. Our game model is a special one of zero-sum game, and we transform it to single-objective game by attaching weight to each single task. Our conclusion is that if the task of Safety is not considered, the evader can even hardly perform the task of Intrusion. When a little more weight is attached to the Safety, the evader can successfully fulfill the task of Intrusion while keeping safe. However, if too much weight is attached to Safety, though the stronger evader can keep itself safe, it can hardly perform the Intrusion task. These conclusions would be extended as some tips for military applications.
引用
收藏
页码:875 / 880
页数:6
相关论文
共 16 条
[1]  
Alonso L., 1992, LION MAN UPPER LOWER
[2]  
[Anonymous], 2014, PhD thesis
[3]   Game-Theoretic Analysis of a Visibility Based Pursuit-Evasion Game in the Presence of Obstacles [J].
Bhattacharya, Sourabh ;
Hutchinson, Seth ;
Basar, Tamer .
2009 AMERICAN CONTROL CONFERENCE, VOLS 1-9, 2009, :373-378
[4]   On Discrete-Time Pursuit-Evasion Games With Sensing Limitations [J].
Bopardikar, Shatmak D. ;
Bullo, Francesco ;
Hespanha, Joao P. .
IEEE TRANSACTIONS ON ROBOTICS, 2008, 24 (06) :1429-1439
[5]   k-Capture in multiagent pursuit evasion, or the lion and the hyenas [J].
Bopardikar, Shaunak D. ;
Suri, Subhash .
THEORETICAL COMPUTER SCIENCE, 2014, 522 :13-23
[6]  
Feng De-long, 2014, Fire Control and Command Control, V39, P161
[7]  
Grinton C., 1996, TESTBED INVESTIGATIN
[8]  
Haynes T., 1996, Adaption and Learning in Multi-Agent Systems. IJCAI '95 Workshop. Proceedings, P113
[9]  
Hespanha JP, 2000, IEEE DECIS CONTR P, P2272, DOI 10.1109/CDC.2000.914136
[10]   Randomized pursuit-evasion in a polygonal environment [J].
Isler, V ;
Kannan, S ;
Khanna, S .
IEEE TRANSACTIONS ON ROBOTICS, 2005, 21 (05) :875-884