中文版 | English
Title

Null-Space-Based Multi-Player Pursuit-Evasion Games Using Minimum and Maximum Approximation Functions

Author
Corresponding AuthorGuo,Xinxin
Publication Years
2022-11-01
DOI
Source Title
EISSN
2079-9292
Volume11Issue:22
Abstract
In this article, pursuit and evasion policies are developed for multi-player pursuit–evasion games, while obstacle avoidance and velocity constraints are considered simultaneously. As minimum and maximum approximation functions are both differentiable, pursuit and evasion objectives can be transformed into solving the corresponding differential expressions. For obstacle avoidance, a modified null-space-based approach is designed, which can ensure that all pursuers and evaders of pursuit–evasions are safe to minimize pursuit objective and maximize evasion objective, respectively. Rigorous theoretical analyses are provided to design constrained pursuit and evasion policies with obstacle avoidance. Finally, the performance of proposed policies is demonstrated by simulation results in 3-dimensional space.
Keywords
URL[Source Record]
Indexed By
Language
English
SUSTech Authorship
Corresponding
Funding Project
China Postdoctoral Science Foundation[2021M701548];National Natural Science Foundation of China[62103182];
WOS Research Area
Computer Science ; Engineering ; Physics
WOS Subject
Computer Science, Information Systems ; Engineering, Electrical & Electronic ; Physics, Applied
WOS Accession No
WOS:000887128200001
Publisher
Scopus EID
2-s2.0-85142439853
Data Source
Scopus
Citation statistics
Cited Times [WOS]:0
Document TypeJournal Article
Identifierhttp://kc.sustech.edu.cn/handle/2SGJ60CL/415752
DepartmentDepartment of Mechanical and Energy Engineering
Affiliation
1.School of Marine Science and Technology,Northwestern Polytechnical University,Xi’an,710072,China
2.Department of Mechanical and Energy Engineering,Southern University of Science and Technology,Shenzhen,518005,China
3.School of Armament Science and Technology,Xi’an Technological University,Xi’an,710021,China
4.School of Electronic Information Engineering,Xi’an Technological University,Xi’an,710021,China
First Author AffilicationDepartment of Mechanical and Energy Engineering
Corresponding Author AffilicationDepartment of Mechanical and Energy Engineering
Recommended Citation
GB/T 7714
Guo,Xinxin,Guo,An,Zhao,Suping. Null-Space-Based Multi-Player Pursuit-Evasion Games Using Minimum and Maximum Approximation Functions[J]. Electronics (Switzerland),2022,11(22).
APA
Guo,Xinxin,Guo,An,&Zhao,Suping.(2022).Null-Space-Based Multi-Player Pursuit-Evasion Games Using Minimum and Maximum Approximation Functions.Electronics (Switzerland),11(22).
MLA
Guo,Xinxin,et al."Null-Space-Based Multi-Player Pursuit-Evasion Games Using Minimum and Maximum Approximation Functions".Electronics (Switzerland) 11.22(2022).
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