Residential College | false |
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 Publication | IEEE Transactions on Neural Networks and Learning Systems |
ISSN | 2162-237X |
Volume | 35Issue: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. |
Keyword | Backstepping Bionic Swarm Control Lyapunov Function Second-order Communication Topology (Soct) |
DOI | 10.1109/TNNLS.2022.3227292 |
URL | View the original |
Indexed By | SCIE |
Language | 英語English |
WOS Research Area | Computer Science ; Engineering |
WOS Subject | Computer Science, Artificial Intelligence ; Computer Science, Hardware & Architecture ; Computer Science, Theory & Methods ; Engineering, Electrical & Electronic |
WOS ID | WOS:000903491500001 |
Publisher | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 445 HOES LANE, PISCATAWAY, NJ 08855-4141 |
Scopus ID | 2-s2.0-85146239832 |
Fulltext Access | |
Citation statistics | |
Document Type | Journal article |
Collection | Faculty of Science and Technology |
Corresponding Author | Wang, Zhen |
Affiliation | 1.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. |
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