By Topic

A Hierarchical Approach To Multi-Player Pursuit-Evasion Differential Games

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

5 Author(s)
Dongxu Li ; Student Member, IEEE, Department of Electrical and Computer Engineering, The Ohio State University, Columbus, OH 43210 USA. (phone:614-404-5494; email: li.447@osu.edu) ; J. B. Cruz ; Genshe Chen ; Chiman Kwan
more authors

The increasing use of unmanned assets and robots in modern military operations renews an interest in the study of general pursuit-evasion games involving multiple pursuers and multiple evaders. Due to the difficulty in formulation and rigorous treatment, the literature in this field is very limited. This paper presents a hierarchical approach to this kind of problem. With an additional structure imposed on decision-making of pursuers, this approach provides conservative guidance to pursuers by finding certain engagement between pursuers and evaders, and the saddle-point strategies are utilized by each pursuer in chasing the engaged evaders. A combinatorial optimization problem is formulated and scenarios are created to demonstrate the feasibility of the algorithm. This is a preliminary study on multi-player pursuit-evasion games and future directions are suggested.

Published in:

Proceedings of the 44th IEEE Conference on Decision and Control

Date of Conference:

12-15 Dec. 2005