UM  > Faculty of Science and Technology
Residential Collegefalse
Status已發表Published
Bionic Swarm Control Based on Second-Order Communication Topology
Yu, Dengxiu1; Xu, Hao1; Jin, Xiaoyue2; Yin, Qiang2; Wang, Zhen3; Chen, C. L.Philip4,5,6; Li, Xuelong3
2024-06-01
Source PublicationIEEE Transactions on Neural Networks and Learning Systems
ISSN2162-237X
Volume35Issue:6Pages:8373-8385
Abstract

In this article, we propose bionic swarm control based on second-order communication topology (SOCT) inspired by the migration of birds, which solves the difficulty in constructing communication topologies and high-computational complexity in controlling large-scale swarm systems. To realize bionic swarm control, there are three problems supposed to be solved. First, the adjacency matrix and the Laplacian matrix in traditional methods cannot be applied to SOCT directly, which should be redesigned. Second, sub-swarm systems formed based on 2-order communication topology (2-OCT) and independently distributed with each other also need to be put forward to reduce computational complexity. At last, the followers in 1-order communication topology (1-OCT) are set as the leaders of sub-swarm systems in 2-OCT. As a result, coupling in large-scale swarm systems would be reduced. The bionic swarm controller is designed through the backstepping method. In this case, the stability of bionic swarm controller is proven by the designed Lyapunov function. The simulations show the efficiency of the designed bionic swarm controller. And the tracking-containment control based on SOCT with 42 swarm members is realized.

KeywordBackstepping Bionic Swarm Control Lyapunov Function Second-order Communication Topology (Soct)
DOI10.1109/TNNLS.2022.3227292
URLView the original
Indexed BySCIE
Language英語English
WOS Research AreaComputer Science ; Engineering
WOS SubjectComputer Science, Artificial Intelligence ; Computer Science, Hardware & Architecture ; Computer Science, Theory & Methods ; Engineering, Electrical & Electronic
WOS IDWOS:000903491500001
PublisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 445 HOES LANE, PISCATAWAY, NJ 08855-4141
Scopus ID2-s2.0-85146239832
Fulltext Access
Citation statistics
Document TypeJournal article
CollectionFaculty of Science and Technology
Corresponding AuthorWang, Zhen
Affiliation1.Unmanned System Research Institute, Northwestern Polytechnical University, Xi'an, 710072, China
2.School of Mechanical Engineering, Northwestern Polytechnical University, Xi’an 710072, China.
3.Center for Optical Imagery Analysis and Learning, Northwestern Polytechnical University, Xi’an 710072, China
4.School of Computer Science and Engineering, South China University of Technology, Guangzhou 510641, China
5.Dalian Maritime University, Dalian, 116026, China
6.University of Macau, Faculty of Science and Technology, Macao
Recommended Citation
GB/T 7714
Yu, Dengxiu,Xu, Hao,Jin, Xiaoyue,et al. Bionic Swarm Control Based on Second-Order Communication Topology[J]. IEEE Transactions on Neural Networks and Learning Systems, 2024, 35(6), 8373-8385.
APA Yu, Dengxiu., Xu, Hao., Jin, Xiaoyue., Yin, Qiang., Wang, Zhen., Chen, C. L.Philip., & Li, Xuelong (2024). Bionic Swarm Control Based on Second-Order Communication Topology. IEEE Transactions on Neural Networks and Learning Systems, 35(6), 8373-8385.
MLA Yu, Dengxiu,et al."Bionic Swarm Control Based on Second-Order Communication Topology".IEEE Transactions on Neural Networks and Learning Systems 35.6(2024):8373-8385.
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Yu, Dengxiu]'s Articles
[Xu, Hao]'s Articles
[Jin, Xiaoyue]'s Articles
Baidu academic
Similar articles in Baidu academic
[Yu, Dengxiu]'s Articles
[Xu, Hao]'s Articles
[Jin, Xiaoyue]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Yu, Dengxiu]'s Articles
[Xu, Hao]'s Articles
[Jin, Xiaoyue]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.