[1] 国务院. 国家综合立体交通网规划纲要[R/OL]. 北京: 国务院, 2021. THE STATE COUNCIL. National Com-prehensive Multidimensional Transportation Network Planning Outline[R/OL]. Beijing: The State Council, 2021 (in Chinese).
[2] 国务院. 无人驾驶航空器飞行管理暂行条例: 国务院令第761号[S/OL]. 北京: 国务院, 2023.THE STATE COUNCIL. Interim Regulations on Flight Management of Unmanned Aircraft: State Council Order No. 761[S/OL]. Beijing: The State Council, 2023 (in Chi-nese).
[3] 国务院. 通用航空装备创新应用实施方案(2024—2030年)[EB/OL]. (2024-03-27)[2025-08-14]. https://www.gov.cn/zhengce/zhengceku/202403/content_6942115.html THE STATE COUNCIL. Implementa-tion Plan for Innovative Application of General Avia-tion Equipment (2024-2030)[EB/OL]. (2024-03-27)[2025-08-14]. https://www.gov.cn/zhengce/zhengce ku/202403/content_6942115.html (in Chinese).
[4] SUN G, ZHANG X, LIU Y, et al. Safety-driven and localization uncertainty-driven perception-aware trajec-tory planning for quadrotor unmanned aerial vehi-cles[J]. IEEE Transactions on Intelligent Transportation Systems, 2024, 25(8): 8837-8848.
[5] LI H, LI X, FIR D, et al. Trust measurement of visual data based on multigranularity belief fusion for UAV perception system[J]. IEEE Transactions on Instrumen-tation and Measurement, 2024, 73: 1-13.
[6] BAI Z, LIU Y, WANG Y, et al. A survey and framework of cooperative perception: From heterogeneous single-ton to hierarchical cooperation[J]. IEEE Transactions on Intelligent Transportation Systems, 2024, 25(11): 15191-15209.
[7] CHEN G, WANG W, DONG J. Performance-optimized adaptive robust tracking control for USV-UAV hetero-geneous systems with uncertainty[J]. IEEE Transactions on Vehicular Technology, 2025, 74(5): 7251-7262.
[8] 孔令东, 曹娟, 章国安, 等. 旋翼无人机实时视觉跟踪算法[J]. 南通大学学报(自然科学版), 2017, 16(1): 12-18,28. KONG L D, CAO J, ZHANG G A, et al. Real-time visual tracking algorithm for rotor UAV[J]. Journal of Nantong University (Natural Science Edition), 2017, 16(1): 12-18,28 (in Chinese).
[9] HU B B, ZHANG H T, LIU B, et al. Coordinated navi-gation control of cross-domain unmanned systems via guiding vector fields[J]. IEEE Transactions on Control Systems Technology, 2024, 32(2): 550-563.
[10] HUANG D, LI H, LI X. Formation of generic UAVs-USVs system under distributed model predictive con-trol scheme[J]. IEEE Transactions on Circuits and Sys-tems II: Express Briefs, 2020, 67(12): 3123-3127.
[11] KITAGAWA T, KAWAMOTO Y, KATO N. Communi-cation scheduling with diversity for unmanned aircraft systems using local 5G[J]. Journal of Communications and Information Networks, 2020, 5(1): 50-61.
[12] 郭雅婧, 孙强, 章嘉懿, 等. 基于智能超表面的无人机通信联合波束赋形与航迹规划[J]. 南通大学学报(自然科学版), 2021, 20(3): 21-27. GUO Y J, SUN Q, ZHANG J Y, et al. Joint beamforming and trajectory planning for UAV communication based on intelligent reflecting surface[J]. Journal of Nantong University (Natural Science Edition), 2021, 20(3): 21-27 (in Chi-nese).
[13] CAO X, LIU W, REN L. Underwater target capture based on heterogeneous unmanned system collabora-tion[J]. IEEE Transactions on Intelligent Vehicles, 2024, 9(10): 6049-6062.
[14] 梁成庆, 李蕾, 刘磊. 基于CNN-LSTM融合网络的深度强化学习多无人机自主避碰[J/OL]. 南通大学学报(自然科学版). (2025-08-09)[2025-08-09]. https://link.cnki.net/urlid/32.1755.n.20250313.1640.002.
LIANG C Q, LI L, LIU L. Deep reinforcement learning for multi-UAV autonomous collision avoidance based on CNN-LSTM fusion network[J/OL]. Journal of Nan-tong University (Natural Science Edition). (2025-08-09)[2025-08-09]. https://link.cnkiki.net/urlid/32.1755.n. 20250313.1640.002 (in Chinese).
[15] 黄陈浩, 吉晓东. 一种高能效的无人机移动中继技术[J]. 南通大学学报(自然科学版), 2021, 20(3): 28-33,94.HUANG C H, JI X D. A high-energy-efficient mobile relay technology for UAV[J]. Journal of Nan-tong University (Natural Science Edition), 2021, 20(3): 28-33,94 (in Chinese).
[16] 阚雨婷, 施佺, 王晗. 无人机视角下的特征匹配引导粒子滤波跟踪算法[J]. 南通大学学报(自然科学版), 2018, 17(3): 6-11.KAN Y T, SHI Q, WANG H. Feature matching guided particle filter tracking algorithm from UAV perspective[J]. Journal of Nantong University (Natural Science Edition), 2018, 17(3): 6-11 (in Chi-nese).
[17] SANTAMARIA-NAVARRO A, ROSSANO G, LIU Z Y, et al. Learning quadrotor dynamics for precise, safe, and agile flight control[J]. Annual Reviews in Control, 2023, 55: 45-60.
[18] ABOUDORRA Y, GABELLIERI C, BRANTJES R, et al. Modelling, analysis, and control of OmniMorph: an omnidirectional morphing multi-rotor UAV[J]. Journal of Intelligent & Robotic Systems, 2024, 110(1): 21.
[19] ERASLAN E, YILDIZ Y. Flexible quadrotor unmanned aerial vehicles: Spatially distributed modeling and de-lay-resistant control[J]. Journal of Guidance, Control, and Dynamics, 2024, 47(6): 1109-1122.
[20] JAMES L, GRESHAM B M, SIMMONS J W, et al. Spin aerodynamic modeling for a fixed-wing aircraft using flight data[J]. Journal of Aircraft, 2024, 61(1): 128-139.
[21] Zhang, N.-W., Peng, C.-C. Loop Shaping-Based Atti-tude Controller Design and Flight Validation for a Fixed-Wing UAV[J]. Drones 2025, 9, 697.
[22] Jeong, H., Park, S. Flight Control Laws of VTOL Air-craft with Propellers Fixed at an Inclined Angle[J]. Int. J. Aeronaut. Space Sci. (2025).
[23] DAI B, HE Y, ZHANG G. Wind disturbance rejection for unmanned aerial vehicles using acceleration feed-back enhanced H∞ method[J]. Autonomous Robots, 2020, 44: 1271-1285.
[24] DE PAIVA E C, CARVALHO B, RODRIGUES L. UAV optimal guidance in wind fields using ZEM/ZEV with generalized performance index[J]. IEEE Transactions on Aerospace and Electronic Systems, 2020, 56(6): 4594-4605.
[25] YE N, ZENG Z, WANG Z, et al. OoD-control: General-izing control in unseen environments[J]. IEEE Transac-tions on Pattern Analysis and Machine Intelligence, 2024, 46(11): 7421-7433.
[26] ZHOU X Y, HUANG J T, ZHANG S, et al. Aerodynam-ic modeling of “Neural”-Fly for fixed-wing aircraft considering strong wind interference[J]. Acta Aerody-namica Sinica, 2024, 42(3): 92?101.
[27] 张靖, 李卫红. 基于贝叶斯网络的无人机对地作战威胁评估[J]. 西北工业大学学报, 2023, 41(6): 1054-1063.ZHANG J, LI W. Threat assessment for air-to-ground combat of UAVs using improved Bayesian net-works[J]. Journal of Northwestern Polytechnical Uni-versity, 2023, 41(6): 1054-1063.
[28] PARK J, GUVENC I. Interference analysis for UAV radar networks with guard zones based on stochastic geometry[J]. IEEE Transactions on Aerospace and Elec-tronic Systems, 2023, 59(4): 4092-4104.
[29] GHAZIKOR M, ROACH K, CHEUNG K, et al. Inter-ference-aware queuing analysis for distributed trans-mission control in UAV networks[C]//2024 IEEE In-ternational Conference on Communications. 2024: 4524-4529.
[30] DONG C, HUO Y, HUI N, et al. Decoupling-free atti-tude control of UAV considering high-frequency dis-turbances: A modified linear active disturbance rejec-tion method[J]. Actuators, 2025, 14: 504.
[31] ZHOU H, ZHANG S, RU C. Lateral flight control method of UAV based on small disturbance and root lo-cus theory[C]//2021 33rd Chinese Control and Deci-sion Conference. Kunming, China: IEEE, 2021: 6949-6954.
[32] DONG C, HUO Y, HUI N, et al. Decoupling-free atti-tude control of UAV considering high-frequency dis-turbances: A modified linear active disturbance rejec-tion method[J]. Actuators, 2025, 14: 504.
[33] QIAO Y, LI S, XIN M. Fixed-time air-ground coopera-tive time-varying formation-containment control of heterogeneous multi-agent systems with well-informed followers[J]. Robotics and Autonomous Systems, 2025: 105225.
[34] LIU K, YUAN W, ZHANG J. Path Planning for For-mation Coordinated Attack Under Interference of Team Support[J]. Electronics Optics & Control, 2022, 29(8): 1
[35] GE Y, ZHAO Y, GU Y. An improved multi-UAV area coverage path planning approach based on deep Q-networks[J]. Applied Sciences, 2025, 15: 11211.
[36] CHEN Y, Ge, Y, Shi, G, et al. TAIL: A terrain-aware multi-modal SLAM dataset for robot locomotion in de-formable granular environments[J]. IEEE Robotics and Automation Letters, 2024, 9(7): 6696-6703.
[37] LV J, LANG X, XU J, et al. Continuous-time fixed-lag smoothing for LiDAR-inertial-camera SLAM[J]. IEEE/ASME Transactions on Mechatronics, 2023, 28(4): 2259-2270.
[38] ZHOU Y, LI X, LI S, et al. MASt3R-Fusion: Integrating feed-forward visual model with IMU, GNSS for high-functionality SLAM[J]. ArXiv, 2025: abs/2509.20757.
[39] WANG Q, WANG Z, JIA T. Adaptive practical finite-time bipartite consensus of nonlinear multi-agent sys-tems with input saturation and non-zero input leader[J]. Journal of the Franklin Institute, 2025, 362(13): 107897.
[40] TAN G, REN H, DENG F. Finite-time consensus of leader-following multi-agent systems with event-triggered control strategy utilizing absolute velocity in-formation[J]. Engineering Applications of Artificial In-telligence, 2025, 152: 110738.
[41] YE L H, MENG Y, SONG C. An adaptive output feed-back formation control algorithm for multiple un-manned surface vehicles based on virtual structure and line-of-sight guidance[J]. Engineering Applications of Artificial Intelligence, 2025, 157: 111213.
[42] YILDIZ B, ASLAN M, DURDU A, et al. Consensus-based virtual leader tracking swarm algorithm with GDRRT-PSO for path-planning of multiple-UAVs[J]. Swarm and Evolutionary Computation, 2024, 88: 101612.
[43] XU Y, ZHANG G, LI J, et al. Robust extreme learning machine control for offshore nacelle inspection maneu-vering of sea-air cooperative vehicles via asynchronous virtual guidance[J]. Ocean Engineering, 2025, 331: 121347.
[44] LU J, YUAN Z, WANG N. Dynamic self-triggered fuzzy formation control for UAV swarm with pre-scribed-time convergence[J]. Drones, 2025, 9: 715.
[45] 陈谋，吴颖.具有输入时滞的集群无人机事件触发协同最优控制[J].南京航空航天大学学报,2022，54(5)：958-968. CHEN Mou,WU Ying.Event-triggered cooperative optimal control of swarm UAVs with input delays[J]. Journal of Nanjing University of Aeronautics & Astronautics，2022，54(5)：958-968.
[46] KANG Y, SHI M, YAO Y, et al. Neuroadaptive fixed-time bipartite containment tracking of networked UAVs under switching topologies[J]. Drones, 2025, 9: 725.
[47] REN C, LI R. Switched observer-based dynamic event-triggered consensus of multi-agent systems under DoS attacks[J]. Journal of the Franklin Institute, 2023, 360(6): 4331-4353.
[48] LI X, DING L, YU Z W, et al. Distributed estimator-based periodic event-triggered secondary control of is-landed microgrids[J/OL]. ISA Transactions, 2025. DOI: 10.1016/j.isatra.2025.10.011.
[49] LI Y, XIE M, ZHANG J, et al. Integral reinforcement learning-based stochastic guaranteed cost control for time-varying systems with asymmetric saturation actua-tors[J]. Actuators, 2025, 14: 506.
[50] SAHEBSARA F, QUEIROZ M S. A switched control strategy for avoiding flip ambiguities in 3D for-mations[J]. Journal of Intelligent & Robotic Systems, 2024, 110(1): 39.
[51] YU H, MIAO K, HE Z, et al. Fault-tolerant time-varying formation trajectory tracking control for multi-agent systems with time delays and semi-Markov switching topologies[J]. Drones, 2024, 8: 778.
[52] PENG F, GAO Q, LU H, et al. Trajectory tracking con-trol method via simulation for quadrotor UAVs based on hierarchical decision dual-threshold adaptive switching[J]. Applied Sciences, 2025, 15: 11217.
[53] ZHAO T, QIAN R, WANG Y, et al. Flying like birds: Hierarchical-egalitarian switching based control law for multi-UAV systems[C]//2022 34th Chinese Control and Decision Conference. Hefei, China: IEEE, 2022: 1332-1337.
[54] WANG X, WANG G, LI S. Distributed finite-time op-timization for integrator chain multiagent systems with disturbances[J]. IEEE Transactions on Automatic Con-trol, 2020, 65(12): 5296-5311.
[55] WANG X, WANG G, LI S. Distributed finite-time op-timization for disturbed second-order multiagent sys-tems[J]. IEEE Transactions on Cybernetics, 2021, 51(9): 4634-4647.
[56] WANG L, ZHANG H, GAO F, et al. Finite-time anti-disturbance control for systems with multiple disturb-ances based on disturbance observer[C]//2022 34th Chinese Control and Decision Conference. Hefei, China: IEEE, 2022: 2938-2941.
[57] ZHU Y, GUO L. A characteristic model-based anti-disturbance intelligent adaptive control law for systems with multiple disturbances[C]//2019 Chinese Control Conference. Guangzhou, China: IEEE, 2019: 2377-2382.
[58] STOJIC D, ?EKARA T. Active disturbance rejection control via transfer function implementation: an im-proved approach[J]. International Journal of Dynamics and Control, 2025, 13: 380.
[59] ZHOU S, NIU X, LU S, et al. Self-organized anti-jamming reinforcement learning for resource allocation in UAV-assisted networks[J]. Signal Processing, 2025: 110346.
[60] WANG L, SONG F,FANG G et al. A multi-agent rein-forcement learning-based collaborative jamming system: Algorithm design and software-defined radio imple-mentation[J]. China Communications, 2022, 19(10): 38-54.
[61] 沈高青, 蔡圣所, 雷磊, 等. 基于数字孪生和强化学习的低空智联网协同认知干扰[J]. 数据采集与处理, 2024, 39(1): 15-30.SHEN G Q, CAI S S, LEI L, et al. Cooperative cognitive jamming in low-altitude intelli-gent IoT based on digital twin and reinforcement learn-ing[J]. Journal of Data Acquisition and Processing, 2024, 39(1): 15-30 (in Chinese).
[62] 解烽, 刘环宇, 胡锡坤, 等. 基于复数域深度强化学习的多干扰场景雷达抗干扰方法[J]. 雷达学报, 2023, 12(6): 1290-1304.XIE F, LIU H Y, HU X K, et al. Radar anti-jamming method in multiple jamming scenarios based on complex domain deep reinforcement learn-ing[J]. Journal of Radars, 2023, 12(6): 1290-1304 (in Chinese).
[63] JIAN R, JIAN L, PU Y. Fault-tolerant tracking control for continuous flight control system based on rein-forcement learning algorithm with incremental strate-gy[J]. Control Theory & Applications, 2020, 37(7): 1429-1438.
[64] 李博扬, 刘洋, 万诺天, 等. 基于强化学习的无人机电磁干扰感知与抗干扰传输方法[J]. 电讯技术, 2023, 63(12): 1855-1861. LI B Y, LIU Y, WAN N T, et al. Re-inforcement learning based UAV electromagnetic inter-ference awareness and anti-jamming transmission method[J]. Telecommunication Engineering, 2023, 63(12): 1855-1861 (in Chinese).
[65] SUN J, HUANG Y, YU W. Recursive regulator: a deep-learning and real-time model adaptation strategy for nonlinear systems[J]. Communications Engineering, 2025, 4: 140.
[66] ZHOU S, NIU X, LU S, et al. Self-organized anti-jamming reinforcement learning for resource allocation in UAV-assisted networks[J]. Signal Processing, 2025: 110346.
[67] GONG Z, YANG F, YUAN Y, et al. Secure formation control of multiagent system against FDI attack using fixed-time convergent reinforcement learning[J]. IEEE Transactions on Control of Network Systems, 2025, 12(2): 1203-1214.
[68] YAN Z, ZHAO H, LI L. Dynamic role-switching in hypergraphs: Enhancing cooperation via adaptive pun-ishment and reinforcement learning[J]. Physica A: Sta-tistical Mechanics and its Applications, 2025, 677: 130902.
[69] FAROOQ M O. Adaptive cyber defense through hybrid learning: From specialization to generalization[J]. Fu-ture Internet, 2025, 17: 464.
[70] 廖勇, 覃录智, 刘思其. 无人机在低空经济中的应用综述[J]. 贵州大学学报(自然科学版), 2025, 42(4): 60-72.LIAO Y, QIN L Z, LIU S Q. Review on the applica-tion of UAVs in low-altitude economy[J]. Journal of Guizhou University (Natural Sciences), 2025, 42(4): 60-72 (in Chinese).
[71] 陈灵犀. 无人机在高密度城市环境中的配送难题及对策[J]. 中国航务周刊, 2025(29): 66-68.CHEN L X. Challenges and countermeasures of UAV delivery in high-density urban environments[J]. China Shipping Weekly, 2025(29): 66-68 (in Chinese).
[72] 沈舟, 郑远, 邹翔, 等. 轻小型物流无人机起降场布局及起降策略设计[J]. 民航学报, 2024, 8(2): 31-36.SHEN Z, ZHENG Y, ZOU X, et al. Layout and strat-egy design of takeoff and landing sites for light and small logistics UAVs[J]. Journal of Civil Aviation, 2024, 8(2): 31-36 (in Chinese).
[73] 邱佩, 罗帆. 城市无人机物流配送安全风险因素识别与管控[J]. 城市发展研究, 2025, 32(6): 18-25.QIU P, LUO F. Identification and control of safety risk factors in urban UAV logistics distribution[J]. Urban Develop-ment Studies, 2025, 32(6): 18-25 (in Chinese).
[74] 张晓全, 郝维骞. 民用轻小型无人机未来运行风险评估[J]. 综合运输, 2023, 45(7): 60-65,86.ZHANG X Q, HAO W Q. Future operational risk assessment of civil light and small UAVs[J]. China Transportation Review, 2023, 45(7): 60-65,86 (in Chinese).
[75] 夏小雨, 韩成浩. 基于无人机的低空图像处理技术在农业领域的应用[J]. 农业与技术, 2023, 43(1): 1-5.XIA X Y, HAN C H. Application of UAV-based low-altitude image processing technology in agriculture[J]. Agriculture & Technology, 2023, 43(1): 1-5 (in Chi-nese).
[76] 柳伍生,余玉竹.异构无人机群两级协同物流配送调度优化[J].长沙理工大学学报（自然科学版）,2025,22(4):78-92.LIU Wusheng, YU Yuzhu. Op-timization of two -level collaborative logistics distribu-tion scheduling for heterogeneous unmanned aerial ve-hicle swarms[J]. Journal of Changsha University of Sci-ence & Technology (Natural Science),2025,22(4):78-92.
[77] 范厚明, 卞子木, 范昊, 等. 地形限制下车辆-无人机协同配送路径问题[J]. 控制理论与应用. (2025-08-13)[2025-08-13]. FAN H M, BIAN Z M, FAN H, et al. Vehicle-UAV collaborative delivery path problem un-der terrain constraints[J/OL]. Control Theory & Appli-cations. (2025-08-13)[2025-08-13]. (in Chinese).
[78] 周剑, 徐晓东, 李航宇, 等. 探析5G网联无人机技术体系对低空监管的作用[J]. 中国安防, 2023(7): 37-42.ZHOU J, XU X D, LI H Y, et al. Analysis of the role of 5G-connected UAV technology system in low-altitude supervision[J]. China Security & Protection, 2023(7): 37-42 (in Chinese).
[79] 朱庆辉, 周圣闻, 王晨熹, 等. 无人机技术在非法种植毒品原植物识别中的应用[J]. 中国军转民, 2024(24): 23-24.ZHU Q H, ZHOU S W, WANG C X, et al. Application of UAV technology in identification of illegal cultivation of narcotic plants[J]. China Defense Industry Conversion, 2024(24): 23-24 (in Chinese).
[80] 曹允春, 翟一冰, 耿劭卿. 考虑灾民心理的震后卡车–无人机协同配送路径优化研究[J]. 安全与环境学报. (2025-08-13)[2025-08-13]. CAO Y C, ZHAI Y B, GENG S Q. Optimization of post-earthquake truck-UAV collaborative distribution routes considering psy-chological needs of victims[J/OL]. Journal of Safety and Environment. (2025-08-13)[2025-08-13].
[81] 裴明阳, 邵康顺, 李林青, 等. 无人机应急救援路径规划建模方法综述与展望[J]. 华南理工大学学报(自然科学版). (2025-08-13)[2025-08-13]. PEI M Y, SHAO K S, LI L Q, et al. Review and prospects of path planning modeling methods for UAV emergency res-cue[J/OL]. Journal of South China University of Tech-nology (Natural Science Edition). (2025-08-13)[2025-08-13].
[82] 宰存宝. 无人机在消防灭火救援中的应用[J]. 今日消防, 2025, 10(7): 50-52.ZAI C B. Application of UAVs in firefighting and rescue operations[J]. Today Fire, 2025, 10(7): 50-52 (in Chinese).
[83] 黄明亮, 陈金, 彭登. 低空经济下关于卫星通信指导无人机在火灾救援中的应用探讨[J]. 江苏通信, 2024, 40(6): 25-28.HUANG M L, CHEN J, PENG D. Appli-cation of satellite communication-guided UAVs in fire rescue under low-altitude economy[J]. Jiangsu Commu-nication, 2024, 40(6): 25-28 (in Chinese).
[84] 李晓东. 徘徊在韩国上空的鹰: KUS-9无人机[J]. 轻兵器, 2012(7): 30-32.LI X D. The eagle hovering over South Korea: KUS-9 UAV[J]. Small Arms, 2012(7): 30-32 (in Chinese).
[85] 靖时光. 从俄乌冲突看无人机对直升机的冲击及应对研究[J]. 中国军转民, 2025(14): 16-19.JING S G. Im-pact of UAVs on helicopters and countermeasures from the perspective of Russia-Ukraine conflict[J]. China De-fense Industry Conversion, 2025(14): 16-19 (in Chi-nese).
[86] 齐呈荣, 赵刘星, 张向远. 未来战场无人机能否独占鳌头[J]. 科学大观园, 2025(12): 54-57.QI C R, ZHAO L X, ZHANG X Y. Can UAVs dominate the future bat-tlefield[J]. Science Garden, 2025(12): 54-57 (in Chi-nese).
[87] 孙绍芳, 鲁亚飞, 邵帅, 等. 战术侦察无人机装备应用发展综述[J]. 航空工程进展. (2025-08-13)[2025-08-13]. SUN S F, LU Y F, SHAO S, et al. Review of de-velopment and application of tactical reconnaissance UAV equipment[J/OL]. Advances in Aeronautical Engi-neering. (2025-08-13)[2025-08-13].
[88] 于澎, 赵国柱. 韩军无人机发展特点及趋势[J]. 航天电子对抗, 2025, 41(3): 64-72.YU P, ZHAO G Z. De-velopment characteristics and trends of South Korean military UAVs[J]. Aerospace Electronic Warfare, 2025, 41(3): 64-72 (in Chinese).
[89] 周兵, 蔡建宇. 无人平台在军事通信中继领域的扩展运用探索[C]//中国指挥与控制学会. 第十三届中国指挥控制大会论文集(上册). 北京: 国防工业出版社, 2025: 363-366.ZHOU B, CAI J Y. Exploration of ex-tended application of unmanned platforms in military communication relay[C]//Chinese Institute of Com-mand and Control. Proceedings of the 13th China Command and Control Conference (Volume 1). Beijing: National Defense Industry Press, 2025: 363-366 (in Chinese).
[90] 刘建新, 沈长征, 郭伟, 等. 浅析无人机蜂群在电子战中的作战应用[C]//中国指挥与控制学会. 第十三届中国指挥控制大会论文集(下册). 北京: 国防工业出版社, 2025: 213-216.LIU J X, SHEN C Z, GUO W, et al. Analysis of combat application of UAV swarms in elec-tronic warfare[C]//Chinese Institute of Command and Control. Proceedings of the 13th China Command and Control Conference (Volume 2). Beijing: National De-fense Industry Press, 2025: 213-216 (in Chinese).
[91] 毛从光,秦锋,杜传报,等.复杂系统电磁环境效应（E3）评估方法研究进展[J].现代应用物理,1-8[2025-08-09]. MAO C G, QIN F, DU C B, et al. Re-search progress on evaluation methods of electromag-netic environmental effects (E3) for complex systems[J]. Modern Applied Physics. (2025-08-09).
[92] 武默达, 王海稳, 韩国辉, 等. 基于双深度Q网络的无人车群智感知技术研究[J]. 电子制作, 2025, 33(8): 53-56.WU M D, WANG H W, HAN G H, et al. Research on swarm intelligence perception technology for un-manned vehicles based on double deep Q-network[J]. Electronic Production, 2025, 33(8): 53-56 (in Chinese).
[93] 王进月, 尹存珍, 佀庆民, 等. 基于改进近端策略优化算法控制的应急无人机飞行控制系统研究[J]. 科学技术创新, 2024(14): 27-30.WANG J Y, YIN C Z, SI Q M, et al. Research on flight control system of emer-gency UAV based on improved proximal policy optimi-zation algorithm[J]. Scientific and Technological Inno-vation, 2024(14): 27-30 (in Chinese).
[94] 王宝楠, 水恒华, 王苏敏, 等. 量子退火理论及其应用综述[J]. 中国科学: 物理学 力学 天文学, 2021, 51(8): 5-17.WANG B N, SHUI H H, WANG S M, et al. Quantum annealing theory and its applications: A re-view[J]. Scientia Sinica: Physica, Mechanica & Astro-nomica, 2021, 51(8): 5-17 (in Chinese).
[95] 曲小波, 王凯, 李奥勇. 飞行汽车如何开启低空智能交通时代——从交通技术谈起[J]. 交通建设与管理, 2022(3): 48-51.QU X B, WANG K, LI A Y. How flying cars open the era of low-altitude intelligent transporta-tion: From the perspective of transportation technolo-gy[J]. Transportation Construction & Management, 2022(3): 48-51 (in Chinese).
[96] 陈俊彦, 杨晨, 朱洪. 城市空中交通管理的地方法规制度体系研究[J]. 交通与港航, 2025, 12(3): 9-14,31.
CHEN J Y, YANG C, ZHU H. Research on local regula-tory system for urban air traffic management[J]. Trans-portation & Port & Shipping, 2025, 12(3): 9-14,31 (in Chinese).
[97] 谷海红, 郑金松, 蒋庆刚, 等. 基于多旋翼无人机在灾害现场救援中的应用[J]. 南方农机, 2021, 52(8): 90-91.GU H H, ZHENG J S, JIANG Q G, et al. Applica-tion of multi-rotor UAV in disaster site rescue[J]. Southern Agricultural Machinery, 2021, 52(8): 90-91 (in Chinese).
[98] NIU G, WU L, GAO Y, et al. Unmanned aerial vehicle (UAV)-assisted path planning for unmanned ground ve-hicles (UGVs) via disciplined convex-concave pro-gramming[J]. IEEE Transactions on Vehicular Technol-ogy, 2022, 71(7): 6996-7007.
[99] Liu Y, CHEN C, QU D et al., Multi-USV system anti-disturbance cooperative searching based on the rein-forcement learning method[J]. IEEE Journal of Oceanic Engineering, 2023, 48(4): 1019-1047.
[100] 费伦林, 张一衡. 基于北斗技术的快速综合应急指挥调度系统在智慧高速公路中的应用[J]. 公路交通科技(应用技术版), 2017, 13(11): 273-276.FEI L L, ZHANG Y H. Application of Beidou technology-based rapid integrated emergency command and dispatch sys-tem in smart highways[J]. Highway Traffic Technology (Application Technology Edition), 2017, 13(11): 273-276 (in Chinese).
[101] 王静. 物联网技术在智慧交通体系建设中的应用研究[J]. 石河子科技, 2025(4): 48-49.WANG J. Applica-tion of Internet of Things technology in smart transpor-tation system construction[J]. Shihezi Science and Technology, 2025(4): 48-49 (in Chinese).
[102] 李梦洁. 低空经济赋能乡村振兴: 无人机与农村物联网的融合应用[J]. 农村经济与科技, 2025, 36(11): 27-29.LI M J. Low-altitude economy empowering rural re-vitalization: Integration application of UAV and rural Internet of Things[J]. Rural Economy and Science-Technology, 2025, 36(11): 27-29 (in Chinese).
[103] 李浩, 仲国强, 姚巩鑫. 基于区块链的集群控制技术[J]. 计算机应用与软件, 2025, 42(7): 76-86. LI H, ZHONG G Q, YAO G X. Blockchain-based swarm con-trol technology[J]. Computer Applications and Software, 2025, 42(7): 76-86 (in Chinese).
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