NDLI: Bearing angle measurement based cooperative pursuit-evasion game in non-convex environments

Content Provider	IEEE Xplore Digital Library
Author	Di Guo Gangfeng Yan Zhiyun Lin
Copyright Year	2013
Description	Author affiliation: Asus Intell. Syst. Lab., Zhejiang Univ., Hangzhou, China (Di Guo; Gangfeng Yan; Zhiyun Lin)
Abstract	This paper addresses a cooperative pursuit-evasion game in non-convex environments, for which a team of pursuers are equipped with onboard bearing angle measurement sensors. Different from many existing work, our work assumes that the agents have no global coordinate system and thus can not measure the absolute positions, but it is expected for the pursuers to estimate the positions of other agents in their local frames. Based on the estimated positions, a distributed computation method is developed where a series of Hamilton-Jacobi-Bellman (HJB) equations are solved cooperatively in order to determine the control input for every pursuer with the help of limited information exchange among pursuers. We demonstrate the effectiveness of the proposed scheme by simulations.
Starting Page	1
Ending Page	6
File Size	636745
Page Count	6
File Format	PDF
ISBN	9781467357678
e-ISBN	9781467357692
DOI	10.1109/ASCC.2013.6606238
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-06-23
Publisher Place	Turkey
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	localization Estimation error Pursuit-evasion game Atmospheric measurements Computational modeling nonlinear measurement Noise Games Particle measurements particle filter Noise measurement
Content Type	Text
Resource Type	Article

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