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Method of Quantitative Analysis for Multirobot Cooperative Hunting Behaviors
Joint Authors
Zhang, Chengjin
Song, Yong
Hai, Liu
Source
Mathematical Problems in Engineering
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-08-25
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
The kinematic behavior of mobile robots can be represented as functions of time.
During the operation of a multirobot system, the orbit of a special robot is recorded.
The embedding dimension and the delay time are chosen based on the correlation integral method.
A chaotic attractor equivalent to the original system is reconstructed in phase space.
The multirobot system can be adequately described based on the phase space information, and the dynamic system states can be forecast based on this information.
The eigenvalues of the attractor are calculated including the maximum Lyapunov exponent and correlation dimension.
The robot collective behavior is described and analyzed quantitatively based on the eigenvalues.
The critical factor that affects the interaction of robots is investigated based on quantified parameters.
Our analysis results can be used to improve the understanding of robot interaction mechanisms.
American Psychological Association (APA)
Song, Yong& Zhang, Chengjin& Hai, Liu. 2016. Method of Quantitative Analysis for Multirobot Cooperative Hunting Behaviors. Mathematical Problems in Engineering،Vol. 2016, no. 2016, pp.1-7.
https://search.emarefa.net/detail/BIM-1112191
Modern Language Association (MLA)
Song, Yong…[et al.]. Method of Quantitative Analysis for Multirobot Cooperative Hunting Behaviors. Mathematical Problems in Engineering No. 2016 (2016), pp.1-7.
https://search.emarefa.net/detail/BIM-1112191
American Medical Association (AMA)
Song, Yong& Zhang, Chengjin& Hai, Liu. Method of Quantitative Analysis for Multirobot Cooperative Hunting Behaviors. Mathematical Problems in Engineering. 2016. Vol. 2016, no. 2016, pp.1-7.
https://search.emarefa.net/detail/BIM-1112191
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1112191