MULTI-UAV

作品数:76被引量:375H指数:10
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相关领域:航空宇航科学技术更多>>
相关作者:孙尧李杰莫宏伟丁宸聪更多>>
相关机构:哈尔滨工程大学哈尔滨工业大学中国人民解放军92728部队更多>>
相关期刊:《China Communications》《Science China(Information Sciences)》《Journal of Systems Engineering and Electronics》《哈尔滨工程大学学报》更多>>
相关基金:国家自然科学基金中国博士后科学基金中国航空科学基金河北省自然科学基金更多>>
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Joint User Association,Resource Allocation and Trajectory Design for Multi-UAV-Aided NOMA Wireless Communication Systems
《China Communications》2025年第3期217-233,共17页Yin Sixing Qu Zhaowei Yu Peng 
supported by Beijing Natural Science Fund–Haidian Original Innovation Joint Fund(L232040 and L232045).
In this paper,we investigate a multi-UAV aided NOMA communication system,where multiple UAV-mounted aerial base stations are employed to serve ground users in the downlink NOMA communication,and each UAV serves its as...
关键词:NOMA resource allocation trajectory design UAV communications user association 
A LODBO algorithm for multi-UAV search and rescue path planning in disaster areas
《Chinese Journal of Aeronautics》2025年第2期200-213,共14页Liman Yang Xiangyu Zhang Zhiping Li Lei Li Yan Shi 
supported by the National Natural Science Foundation of China(No.62373027).
In disaster relief operations,multiple UAVs can be used to search for trapped people.In recent years,many researchers have proposed machine le arning-based algorithms,sampling-based algorithms,and heuristic algorithms...
关键词:Unmanned aerial vehicle Path planning Meta heuristic algorithm DBO algorithm NP-hard problems 
A Modified Self-Adaptive Sparrow Search Algorithm for Robust Multi-UAV Path Planning
《Journal of Donghua University(English Edition)》2024年第6期630-643,共14页SUN Zhiyuan SHEN Bo PAN Anqi XUE Jiankai MA Yuhang 
Foundation items:National Natural Science Foundation of China(No.62303108);Fundamental Research Funds for the Central Universities,China(No.CUSF-DH-T-2023065)。
With the advancement of technology,the collaboration of multiple unmanned aerial vehicles(multi-UAVs)is a general trend,both in military and civilian domains.Path planning is a crucial step for multi-UAV mission execu...
关键词:multiple unmanned aerial vehicle(multi-UAV) path planning sparrow search algorithm(SSA) stochastic optimization 
Multi-UAV Collaborative Mission Planning Method for Self-Organized Sensor Data Acquisition
《Computers, Materials & Continua》2024年第10期1529-1563,共35页Shijie Yang Jiateng Yuan Zhipeng Zhang Zhibo Chen Hanchao Zhang Xiaohui Cui 
National Key R&D Program of China(2022YFF1302700);Xiong’an New Area Science and Technology Innovation Special Project of Ministry of Science and Technology of China(2023XAGG0065);Ant Group through CCF-Ant Research Fund(CCF-AFSG RF20220214);Outstanding Youth Team Project of Central Universities(QNTD202308);Beijing Forestry University National Training Program of Innovation and Entrepreneurship for Undergraduates(202310022097).
In recent years,sensor technology has been widely used in the defense and control of sensitive areas in cities,or in various scenarios such as early warning of forest fires,monitoring of forest pests and diseases,and ...
关键词:Unmanned aerial vehicle sensor self-organization path planning multi-UAV task assignment 
Multi-UAV Collaborative Trajectory Planning for 3D Terrain Based on CS-GJO Algorithm
《Complex System Modeling and Simulation》2024年第3期274-291,共18页Taishan Lou Yu Wang Zhepeng Yue Liangyu Zhao 
supported by the Key Research and Development Program of Henan Province (No.241111222900);Natural Science Foundation of Henan (No.242300421716);Key Science and Technology Program of Henan Province (Nos.242102220044 and 242102210034);National Natural Science Foundation of China (No.62103379);Maker Space Incubation Project (No.2023ZCKJ102).
Existing solutions for collaborative trajectory planning using multiple UAVs suffer from issues such as low accuracy,instability,and slow convergence.To address the aforementioned issues,this paper introduces a new me...
关键词:golden jackal optimization multiple unmanned aerial vehicle(multiUAV)collaboration 3D track planning tent chaos mapping cuckoo search 
A hierarchical multi-UAV cooperative framework for infrastructure inspection and reconstruction
《Control Theory and Technology》2024年第3期394-405,共12页Chuanxiang Gao Xinyi Wang Xi Chen Ben M.Chen 
supported in part by the Research Grants Council of Hong Kong SAR(Nos.14209020,14206821);in part by the Hong Kong Region Centre for Logistics Robotics(HKCLR).
Unmanned aerial vehicles(UAVs)are emerging as a powerful tool for inspections and repair works in large-scale and unstructured 3D infrastructures,but current approaches take a long time to cover the entire area.Planni...
关键词:MULTI-UAV Coverage path planning Infrastructure inspection and reconstruction 
Safe formation control of multiple unmanned aerial vehicles:control design and safety-stability analysis
《Control Theory and Technology》2024年第3期442-454,共13页Haoqi Li Jiangping Hu Qingrui Zhou Bijoy K.Ghosh 
supported in part by the National Key Research and Development Program of China(No.2022YFE0133100);in part by the National Natural Science Foundation of China(No.62203089);in part by the Sichuan Science and Technology Program(Nos.24NSFSC1362,2020YFSY0012).
Both safety and stability are primary performance criteria for multi-unmanned aerial vehicle(multi-UAV)systems in many coordination tasks.Existing approaches often consider safety and stability separately.It is necess...
关键词:Multi-UAV system Formation control Lyapunov function Barrier function Stability with safety guarantee 
Elite Dung Beetle Optimization Algorithm for Multi-UAV Cooperative Search in Mountainous Environments
《Journal of Bionic Engineering》2024年第4期1677-1694,共18页Xiaoyong Zhang Wei Yue 
supported by the Natural Science Foundation of China(62273068);the Fundamental Research Funds for the Central Universities(3132023512);Dalian Science and Technology Innovation Fund(2019J12GX040).
This paper aims to address the problem of multi-UAV cooperative search for multiple targets in a mountainous environment,considering the constraints of UAV dynamics and prior environmental information.Firstly,using th...
关键词:Mountainous environment Multi-UAV cooperative search Environment information consistency Elite dung beetle optimization algorithm(EDBOA) Path planning 
An attack-resilient distributed extended Kalman consensus filtering algorithm with applications to multi-UAV tracking problems
《Frontiers of Information Technology & Electronic Engineering》2024年第8期1110-1122,共13页Yuru HU Wangyan LI Lifeng WU Zhensheng YU 
supported by the National Natural Science Foundation of China(Nos.62103283 and 12371308)。
This study investigates how the events of deception attacks are distributed during the fusion of multi-sensor nonlinear systems.First,a deception attack with limited energy(DALE)is introduced under the framework of di...
关键词:Extended Kalman consensus filtering Hypothesis testing Rectification strategy Multi-UAV tracking 
Multi-UAV Cooperative Exploration Based on Task-Density Space Partition
《Aerospace China》2024年第2期28-35,共8页YU Jiafa 
This paper proposes a multi-UAV cooperative exploration approach based on task-density space partition.In the research of multi-UAV cooperative exploration,it is a prevalent cooperative scheme to control robots to wor...
关键词:exploration of unknown environments multi-UAV cooperation rolling horizon planning task density space partition 
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