EDP Sciences logo
Submit your paper
Search
Menu
All issues Volume 40 / No 6 (December 2022) JNWPU, 40 6 (2022) 1297-1304 References
Open Access
Issue
JNWPU
Volume 40, Number 6, December 2022
Page(s) 1297 - 1304
DOI https://doi.org/10.1051/jnwpu/20224061297
Published online 10 February 2023
  1. THOMAS Lemaire, RACHID Alami, SIMON Lacroix. A distributed task allocation scheme in multi-UAV context[C]//IEEE International Conference on Robotics and Automation, 2004 [Google Scholar]
  2. LIANG H, ZHANG L, SUN Y, et al. Containment control of semi-Markovian multiagent systems with switching topologies[J]. IEEE Trans on Systems, Man, and Cybernetics, 2021, 51(6): 3889–3899 [Article] [CrossRef] [Google Scholar]
  3. LI Zhongkui, WEi Ren, LIU Xiangdong, et al. Distributed containment control of multi-agent systems with general linear dynamics in the presence of multiple leaders[J]. International Journal of Robust and Nonlinear Control, 2013, 23(5): 534–547 [Article] [CrossRef] [Google Scholar]
  4. ZHANG Yu, ZHANG Yan, QIU Mianhao, et al. Research on the ground-air unmanned platform cooperative combat application[J]. Fire Control & Command Control, 2021, 46(5): 6 [Article] (in Chinese) [Google Scholar]
  5. MURO C, ESCOBEDO R, SPECTOR L, et al. Wolf-pack(canis lupus) hunting strategies emerge from simple rules in computational simulations[J]. Behavioural Processes, 2011, 88(3): 192–197 [Article] [CrossRef] [Google Scholar]
  6. ATAMURAT K, GAFURJAN I, MASSIMILIANO F. Simple motion pursuit and evasion differential games with many pursuers on manifolds with euclidean metric[J]. Discrete Dynamics in Nature and Society, 2016, 2016: 1–8 [Google Scholar]
  7. CHEN Jie, ZHA Wenzhong, PENG Zhihong, et al. Multi-player pursuit-evasion games with one superior evader[J]. Automatica, 2016, 71: 24–32 [Article] [CrossRef] [Google Scholar]
  8. LOPEZ V G, LEWIS F L, WAN Y, et al. Solutions for multiagent pursuit-evasion games on communication graphs: finite-time capture and asymptotic behaviors[J]. IEEE Trans on Automatic Control, 2020, 65(5): 1911–1923 [Article] [CrossRef] [Google Scholar]
  9. AMINI A, ASIF A, MOHAMMADI A. Formation-containment control using dynamic event-triggering mechanism for multi-agent systems[J]. IEEE/CAA Journal of Automatica Sinica, 2020, 7(5): 1235–1248 [Google Scholar]
  10. HOLLAND J H. Adaptation in natural and artificial systems: an introductory analysis with application to biology, control and artificial intelligence[M]. Cambridge: The MIT Press, 1975 [Google Scholar]
  11. YU D, XU H, CHEN C, et al. Dynamic coverage control based on K-means[J]. IEEE Trans on Industrial Electronics, 2021, 99: 1 [Google Scholar]
  12. KIM J, JU C, SON H I. A multiplicatively weighted Voronoi-based workspace partition for heterogeneous seeding robots[J]. Electronics, 2020, 9(11): 1813 [Article] [CrossRef] [Google Scholar]
  13. PAOLO B, ANTONIO C, LUCA F, et al. Scalable and cost-effective assignment of mobile crowdsensing tasks based on profiling trends and prediction: the participact living lab experience[J]. Sensors, 2015, 15(8): 18613–18640 [Article] [NASA ADS] [CrossRef] [Google Scholar]
  14. DOULAMIS N D, KOKKINOS P, VARVARIGOS E M. Resource selection for tasks with time requirements using spectral clustering[J]. IEEE Trans on Computers, 2014, 63(2): 461–474 [Article] [CrossRef] [Google Scholar]
  15. ELANGO M, NACHIAPPAN S, TIWARI M K. Balancing task allocation in multi-robot systems using K-means clustering and auction based mechanisms[J]. Expert Systems with Applications, 2011, 38(6): 6486–6491 [Article] [CrossRef] [Google Scholar]
  16. BAI X, YAN W, CAO M. Clustering-based algorithms for multi-vehicle task assignment in a time-invariant drift field[J]. IEEE Robotics & Automation Letters, 2017, 2(4): 2166–2173 [CrossRef] [Google Scholar]
  17. WANG B, CHEN W, ZHANG B, et al. Cooperative control-based task assignments for multiagent systems with intermittent communication[J]. IEEE Trans on Industrial Informatics, 2021, 17(10): 6697–6708 [Article] [CrossRef] [Google Scholar]
  18. LEE D H, ZAHEER S A, KIM J H. A Resource-oriented, decentralized auction algorithm for multirobot task allocation[J]. IEEE Trans on Automation Science and Engineering, 2015, 12(4): 1469–1481 [Article] [CrossRef] [Google Scholar]
  19. BAI X, CAO M, YAN W. Event-and time-triggered dynamic task assignments for multiple vehicles[J]. Autonomous Robots, 2020, 44(5): 877–888 [Article] [CrossRef] [Google Scholar]
  20. CAO X, XU X. Hunting algorithm for multi-AUV based on dynamic prediction of target trajectory in 3D underwater environment[J]. IEEE Access, 2020, 8: 1–1 [Article] [CrossRef] [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.