邱华鑫 - 北京航空航天大学

个人简介

教育经历 2014.9 -- 2019.6 北京航空航天大学控制科学与工程博士研究生毕业工学博士学位 2010.9 -- 2014.7 北京航空航天大学控制科学与工程大学本科毕业工学学士学位工作经历 2022.2 -- 至今北京航空航天大学飞行学院副教授 2019.8 -- 2022.2 中国空间技术研究院钱学森空间技术实验室博士后社会兼职 2020.11 -- 2025.11 中国人工智能学会科普工作委员会委员

研究领域

群体智能及其在无人机自主集群控制中的应用

近期论文

查看导师新发文章（温馨提示：请注意重名现象，建议点开原文通过作者单位确认）

A population-based game-theoretic optimizer for the minimum weighted vertex cover.[期刊]:Applied Soft Computing,2022,116:108272 Distributed unmanned flocking inspired by the collective motion of pigeon flocks.[期刊]:Science China-Information Sciences,2022,65(4):144201 Loose Formation Control of Multi-Agent Systems based on Piecewise Function:Proceedings of the 40th Chinese Control Conference,2021:5282-5288 A multi-objective pigeon-inspired optimization approach to UAV distributed flocking among obstacles.[期刊]:Information Sciences,2020,509:515-529 Distributed satellite formation based on swarm intelligence of pigeon flocks.[会议录]:Proceedings of 2020 China Automation Congress,2020:4525-4530 鸽群交互模式切换模型及其同步性分析:智能系统学报,2020,15(2):402-411 Advancements in pigeon-inspired optimization and its variants:Science China-Information Sciences,2019,62(7):070201 基于群体智能的无人机集群自主控制.[专著]:科学出版社,2018 无人机自主集群技术研究展望:科技导报,2018,36(21):90-98 Multiple UAV distributed close formation control based on in-flight leadership hierarchies of pigeon flocks:Aerospace Science and Technology,2017,70:471-486 Pigeon interaction mode switch-based UAV distributed flocking control under obstacle environments:ISA Transactions,2017,71:93-102 Chaotic predator-prey brain storm optimization for continuous optimization problems:Proceedings of 2017 IEEE Symposium Series on Computational Intelligence,2017:408-414 从鸟群群集飞行到无人机自主集群编队:工程科学学报,2017,39(3):317-322 Fully autonomous flying: from collective motion in bird flocks to unmanned aerial vehicle autonomous swarms:Science China-Information Sciences,2015,58(12):128201 Multi-objective pigeon-inspired optimization for brushless direct current motor parameter design:Science China-Technological Sciences,2015,58(11):1915-1923 A decoupling receding horizon search approach to agent routing and optical sensor tasking based on brain storm optimization:Optik,2015,126(7-8):690-696 基于鸽群行为机制的多无人机自主编队:控制理论与应用,2015,32(19):1298-1304 基于捕食逃逸鸽群优化的无人机紧密编队协同控制:中国科学: 技术科学,2015,45(6):559-572 Receding horizon control for multiple UAV formation flight based on modified brain storm optimization:Nonlinear Dynamics,2014,78(3):1973-1988