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• W2013925402 abstract "This paper addresses the bipartite flock control problem where a multi-agent system splits into two clusters upon internal or external excitations. Using structurally balanced signed graph theory, LaSalle’s invariance principle and Barbalat’s Lemma, we prove that the proposed algorithm guarantees a bipartite flocking behavior. In each of the two disjoint clusters, all individuals move with the same direction. Meanwhile, every pair of agents in different clusters moves with opposite directions. Moreover, all agents in the two separated clusters approach a common velocity magnitude, and collision avoidance among all agents is ensured as well. Finally, the proposed bipartite flock control method is examined by numerical simulations. The bipartite flocking motion addressed by this paper has its references in both natural collective motions and human group behaviors such as predator–prey and panic escaping scenarios." @default.
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• W2013925402 date "2014-09-01" @default.
• W2013925402 modified "2023-09-26" @default.
• W2013925402 title "Bipartite flocking for multi-agent systems" @default.
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• W2013925402 doi "https://doi.org/10.1016/j.cnsns.2013.10.009" @default.
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