[1]QIU Huaxin,DUAN Haibin,FAN Yanming,et al.Pigeon flock interaction pattern switching model and its synchronization analysis[J].CAAI Transactions on Intelligent Systems,2020,15(2):334-343.[doi:10.11992/tis.201904052]
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CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume:
15
Number of periods:
2020 2
Page number:
334-343
Column:
学术论文—人工智能基础
Public date:
2020-03-05
- Title:
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Pigeon flock interaction pattern switching model and its synchronization analysis
- Author(s):
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QIU Huaxin1; 2; DUAN Haibin1; 3; FAN Yanming4; DENG Yimin1; WEI Chen1
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1. School of Automation Science and Electrical Engineering, Beihang University, Beijing 100083, China;
2. QIAN Xuesen Laboratory of Space Technology, China Academy of Space Technology, Beijing 100094, China;
3. Peng Cheng Laboratory, Shenzhen 518000
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- Keywords:
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pigeon flock; swarm intelligence; collective motion; heterogeneous group; hierarchical interaction pattern; egalitarian interaction pattern; interaction pattern switching; synchronization
- CLC:
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TP13;V249.122
- DOI:
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10.11992/tis.201904052
- Abstract:
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Taking Columba livia as the research object, we summarized the dual-mode decision-making, mode-switching, and dominant individual principles in the homing mechanism of pigeons to establish a pigeon flock interaction pattern switching model. In the model, the neighbor set and alignment weight in dual mode were set by mimicking the dual-mode decision-making principle, the switching rule based on the curvature of the group trajectory was set by mimicking the mode-switching principle, and the collection of higher-rank individuals was set by mimicking the dominant individual principle. On the basis of LaSalle’s invariant set theory, the conditions under which the pigeon flock can approach the target with collision-free and synchronous formations are given. Monte Carlo simulation was used to analyze the influence of different parameters on the model characteristics. Results show that the synchronization of the model can be ensured by setting the appropriate number of individuals, number of higher-rank individuals, and maximum velocity.