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- W3102953710 endingPage "20002" @default.
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- W3102953710 abstract "Swarms of large numbers of agents appear in many biological and engineering fields. Dynamic bi-stability of co-existing spatio-temporal patterns has been observed in many models of large population swarms. However, many reduced models for analysis, such as mean-field (MF), do not capture the bifurcation structure of bi-stable behavior. Here, we develop a new model for the dynamics of a large population swarm with delayed coupling. The additional physics predicts how individual particle dynamics affects the motion of the entire swarm. Specifically, (1) we correct the center of mass propulsion physics accounting for the particles velocity distribution; (2) we show that the model we develop is able to capture the pattern bi-stability displayed by the full swarm model." @default.
- W3102953710 created "2020-11-23" @default.
- W3102953710 creator A5020884951 @default.
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- W3102953710 date "2014-01-01" @default.
- W3102953710 modified "2023-09-27" @default.
- W3102953710 title "Capturing pattern bi-stability dynamics in delay-coupled swarms" @default.
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- W3102953710 doi "https://doi.org/10.1209/0295-5075/105/20002" @default.
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