Multi-agent flocking with obstacle avoidance and safety distance preservation: a fuzzy potential-based approach
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11370-023-00500-7.pdf
Reference27 articles.
1. Luo Q, Duan H (2017) Distributed UAV flocking control based on homing pigeon hierarchical strategies. Aerosp Sci Technol 70:257–264. https://doi.org/10.1016/j.ast.2017.08.010
2. Brandstätter A, Smolka SA, Stoller SD et al (2022) Multi-agent spatial predictive control with application to drone flocking (extended version). https://doi.org/10.48550/ARXIV.2203.16960
3. Feng Y, Dong J, Wang J, Zhu H (2023) Distributed flocking algorithm for multi-UAV system based on behavior method and topological communication. J Bionic Eng 20:782–796. https://doi.org/10.1007/s42235-022-00287-w
4. Cao F, Jiang H (2021) Trajectory planning and tracking control of unmanned ground vehicle leading by motion virtual leader on expressway. IET Intell Trans Syst 15:187–199. https://doi.org/10.1049/itr2.12013
5. Yan X, Jiang D, Miao R, Li Y (2021) Formation control and obstacle avoidance algorithm of a multi-USV system based on virtual structure and artificial potential field. JMSE 9:161. https://doi.org/10.3390/jmse9020161
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