[1]邱华鑫,段海滨,范彦铭,等.鸽群交互模式切换模型及其同步性分析[J].智能系统学报,2020,15(2):334-343.[doi:10.11992/tis.201904052]
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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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]
鸽群交互模式切换模型及其同步性分析
《智能系统学报》[ISSN 1673-4785/CN 23-1538/TP] 卷:
15
期数:
2020年第2期
页码:
334-343
栏目:
学术论文—人工智能基础
出版日期:
2020-03-05
- Title:
- Pigeon flock interaction pattern switching model and its synchronization analysis
- Keywords:
- pigeon flock; swarm intelligence; collective motion; heterogeneous group; hierarchical interaction pattern; egalitarian interaction pattern; interaction pattern switching; synchronization
- 分类号:
- TP13;V249.122
- 摘要:
- 以原鸽为研究对象，归纳出其群体归巢机制中的双模式决策原则、模式切换原则与优势个体原则。模拟双模式决策原则设定双模式邻居集合与对齐权重，模拟模式切换原则设定基于群体轨迹曲率的切换规则，模拟优势个体原则设定高层级个体集合，进而建立鸽群交互模式切换模型。基于LaSalle不变集理论给出鸽群系统以无碰撞、同步编队抵近目标的条件。采用蒙特卡罗仿真分析不同参数对模型特性的影响，即不同个体数目、高层级个体数目以及最大速率均可保证模型的同步性。
- Abstract:
- 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.
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备注/Memo
收稿日期:2019-04-22。
基金项目:国家自然科学基金项目(61803011,91948204)； 中国博士后科学基金资助项目；
作者简介:邱华鑫，博士后，主要研究方向为群体智能、无人机自主控制;段海滨，教授，博士生导师，主要研究方向为无人机集群自主控制、计算机仿生视觉与智能感知、仿生智能计算理论及应用。主持国家自然科学基金重点项目等课题，出版专著3部，发表学术论 文200余篇;范彦铭，研究员，博士生导师，航空工业首批首席专家，主要研究方向为先进飞行器控制律设计与实现、无人机自主飞行控制。主持国家级研究项目10余项，获国家科技进步二等奖、国防科技进步特等奖，发表学术论文30余篇
通讯作者:段海滨.E-mail:hbduan@buaa.edu.cn
更新日期/Last Update:
1900-01-01