Systems Engineering and Electronics ›› 2025, Vol. 47 ›› Issue (11): 3765-3778.doi: 10.12305/j.issn.1001-506X.2025.11.24
• Guidance, Navigation and Control • Previous Articles
Chen WANG1,2, Cheng ZHU1,2,*, Xiangke WANG3, Zhaoyun DING1,2, Qianzhen ZHANG1,2, Sheng ZHANG1,2, Xianqiang ZHU1,2
Received:2024-12-05
Online:2025-11-25
Published:2025-12-08
Contact:
Cheng ZHU
CLC Number:
Chen WANG, Cheng ZHU, Xiangke WANG, Zhaoyun DING, Qianzhen ZHANG, Sheng ZHANG, Xianqiang ZHU. Technology for countering dynamic multi-target motion control using distributed drone swarm systems[J]. Systems Engineering and Electronics, 2025, 47(11): 3765-3778.
| 1 | KREPS S, LUSHENKO P. Drones in modern war: evolutionary, revolutionary, or both?[J]. Defense & Security Analysis, 2023, 39 (2): 271- 274. |
| 2 | PARK S H, NAMGUNG S P, KIM S K. A case study on the drone battle between Azerbaijan and Armenia[J]. International Journal of Advanced Culture Technology, 2023, 11 (3): 94- 98. |
| 3 | BURSUC A, MUNTEANU C, RUS S. Overview on sea drones evolution and their use in modern warfare[J]. Revista Academiei Fortelor Terestre, 2024, 29 (2): 195- 209. |
| 4 |
GONZALEZ R J. Death by remote control: drone warfare in Afghanistan, Ukraine and beyond[J]. Anthropology Today, 2024, 40 (1): 7- 11.
doi: 10.1111/1467-8322.12862 |
| 5 | CHAN P S. Drones for saving life: reimagining war technology[J]. Circulation: Cardiovascular Quality and Outcomes, 2024, 17 (4): e010908. |
| 6 | MAITRA S. How drones are changing war: cheaper technology means a return to offense dominance, which makes the whole world more volatile[J]. The American Conservative, 2024, 23 (1): 34- 39. |
| 7 | KUNERTOVA D. Learning from the Ukrainian battlefield: tomorrow’s drone warfare, today’s innovation challenge [EB/OL]. [2024-11-30]. http://dx.doi.org/10.3929/ethz-b-000690448. |
| 8 |
DEHEGANI A, MAIZI L. The impact of the digital military revolution on modern warfare: Russia’s war on Ukraine as a model[J]. Journal of Science and Knowledge Horizons, 2024, 4 (1): 280- 299.
doi: 10.34118/jskp.v4i01.3866 |
| 9 |
FAN Y, CHEN B, ZHAO Y, et al. Performance analysis of reconnaissance coverage for HUAV swarms under communication interference based on different architectures[J]. Electronics, 2024, 13 (20): 4067.
doi: 10.3390/electronics13204067 |
| 10 | GRIGORE L, CRISTESCU C. The use of drones in tactical military operations in the integrated and cybernetic battle field[J]. Land Forces Academy Review, 2024, 29 (2): 269−273. |
| 11 | KANU N J, GUPTA E, PENDKAR S M, et al. A few suggestions to improve anti-drone measures for combating against the drone menace[J]. Journal of The Institution of Engineers (India): Series C, 2024, 105 (3): 761- 787. |
| 12 | KIM J, CHOI J, KWON H. A study on the development directions of a smart counter-drone defense system based on the future technological environment[J]. KSII Transactions on Internet and Information Systems (TIIS), 2024, 18 (7): 1929- 1952. |
| 13 | LEE N I. A study on influencing factors to build a counter-drone system: focusing on national important facilities[J]. The Journal of the Convergence on Culture Technology, 2024, 10 (4): 483- 494. |
| 14 | CHO S K, JANG S, KIM S. A study on how to establish the counter-drone system for National crucial infrastructures[J]. International Journal of Advanced Culture Technology, 2024, 12 (4): 275- 284. |
| 15 |
KASHI R N, PRASHANTH A, KASHI S R, et al. A survey and analysis of drone detection systems using a systems approach superposed on scenarios[J]. Systems Engineering, 2024, 27 (3): 598- 636.
doi: 10.1002/sys.21735 |
| 16 | CHOI H, JOUNG K W. A study on the establishment of counter-drone system and the concept of integrated multi-domain defense[J]. International Journal of Advanced Culture Technology, 2024, 12 (4): 323- 334. |
| 17 |
KING A. Robot wars: autonomous drone swarms and the battlefield of the future[J]. Journal of Strategic Studies, 2024, 47 (2): 185- 213.
doi: 10.1080/01402390.2024.2302585 |
| 18 |
BU Y J, YAN Y, YANG Y N. Advancement challenges in UAV swarm formation control: a comprehensive review[J]. Drones, 2024, 8 (7): 320.
doi: 10.3390/drones8070320 |
| 19 |
HENG L W, ZHENG X, HONG D Z. Dynamic collision avoidance for cooperative fixed-wing UAV swarm based on normalized artificial potential field optimization[J]. Journal of Central South University, 2021, 28 (10): 3159- 3172.
doi: 10.1007/s11771-021-4840-5 |
| 20 |
WANG C, WANG D L, GU M Q, et al. Bioinspired environment exploration algorithm in swarm based on levy flight and improved artificial potential field[J]. Drones, 2022, 6 (5): 122.
doi: 10.3390/drones6050122 |
| 21 |
WANG X K, YU Y G, LI Z K. Distributed sliding mode control for leader-follower formation flight of fixed-wing unmanned aerial vehicles subject to velocity constraints[J]. International Journal of Robust and Nonlinear Control, 2021, 31 (6): 2110- 2125.
doi: 10.1002/rnc.5030 |
| 22 | BACHETI V P, BRANDÃO A S, SARCINELLI-FILHO M. Path-following with a UGV-UAV formation considering that the UAV lands on the UGV [C]//Proc. of the IEEE International Conference on Unmanned Aircraft Systems, 2020: 488−497. |
| 23 |
XUE K, WU T Y. Distributed consensus of USVs under heterogeneous UAV-USV multi-agent systems cooperative control scheme[J]. Journal of Marine Science and Engineering, 2021, 9 (11): 1314.
doi: 10.3390/jmse9111314 |
| 24 | LOWE R, WU Y I, TAMAR A, et al. Multi-agent actor-critic for mixed cooperative-competitive environments [C]// Proc. of the 31st International Conference on Neural Information Processing Systems, 2017: 6382−6393. |
| 25 |
ERGUN S. Resource allocation optimization for effective vehicle network communications using multi-agent deep reinforcement learning[J]. Journal of Dynamics and Games, 2025, 12 (2): 134- 156.
doi: 10.3934/jdg.2024017 |
| 26 | LIU B, LI X, ZHENG T C, et al. Research on multi UAV attack defense confrontation algorithm based on machine learning[J]. Academic Journal of Computing & Information Science, 2021, 4 (3): 52- 59. |
| 27 |
ZHOU X, WEN X Y, WANG Z P, et al. Swarm of micro flying robots in the wild[J]. Science Robotics, 2022, 7 (66): eabm5954.
doi: 10.1126/scirobotics.abm5954 |
| 28 |
JIN Y C, GUO H L, MENG Y. A hierarchical gene regulatory network for adaptive multirobot pattern formation[J]. IEEE Trans. on Systems, Man, and Cybernetics, Part B (Cybernetics), 2012, 42 (3): 805- 816.
doi: 10.1109/TSMCB.2011.2178021 |
| 29 |
WANG C, KUANG W X, GU M Q, et al. AGENT: an adaptive grouping and entrapping method for flocking systems[J]. Journal of Computational Design and Engineering, 2023, 10 (1): 357- 367.
doi: 10.1093/jcde/qwac136 |
| 30 | OH H, JIN Y C. Evolving hierarchical gene regulatory networks for morphogenetic pattern formation of swarm robots [C]//Proc. of the IEEE Congress on Evolutionary Computation, 2014: 776−783. |
| 31 |
VASARHELYI G, VIRAGH C, SOMORJAI G, et al. Optimized flocking of autonomous drones in confined environments[J]. Science Robotics, 2018, 3 (20): eaat3536.
doi: 10.1126/scirobotics.aat3536 |
| 32 |
SUN G B, ZHOU R, MA Z, et al. Mean-shift exploration in shape assembly of robot swarms[J]. Nature Communications, 2023, 14 (1): 3476.
doi: 10.1038/s41467-023-39251-5 |
| 33 | 王琛. 12架无人机穿越静态威胁区执行1个目标的反制任务[EB/OL]. [2024-11-30]. https://www.bilibili.com/video/BV1ujsSekENd. |
| WANG C. Twelve drones are conducting distributed swarm movements in a static threat area to counter a single target. [EB/OL]. [2024-11-30]. https://www.bilibili.com/video/ BV1ujsSekENd. | |
| 34 | 王琛. 16架无人机穿越静态威胁区执行1个目标的反制任务[EB/OL]. [2024-11-30]. https://www.bilibili.com/video/BV1ujsSekEYm. |
| WANG C. Sixteen drones are conducting distributed swarm movements in a static threat area to counter a single target. [EB/OL]. [2024-11-30]. https://www.bilibili.com/video/ BV1ujsSekEYm. | |
| 35 | 王琛. 20架无人机穿越静态威胁区执行1个目标的反制任务[EB/OL]. [2024-11-30]. https://www.bilibili.com/video/BV1MjsSekE6T. |
| WANG C. Twenty drones are conducting distributed swarm movements in a static threat area to counter a single target. [EB/OL]. [2024-11-30]. https://www.bilibili.com/video/ BV1MjsSekE6T. | |
| 36 | 王琛. 20架无人机穿越动态威胁区分布式决策选择目标执行2个目标的反制任务(GRN方法)[EB/OL]. [2024-11-30]. https://www.bilibili.com/video/BV1MjsSekE6w. |
| WANG C. Twenty drones are conducting distributed swarm movements in a dynamic threat area to counter two targets (GRN method). [EB/OL]. [2024-11-30]. https://www.bilibili.com/video/BV1MjsSekE6w. | |
| 37 | 王琛. 20架无人机穿越动态威胁区分布式决策选择目标执行2个目标的反制任务(AGENT方法)[EB/OL]. [2024-11-30]. https:// www.bilibili.com/video/BV1NssSeTEEX. |
| WANG C. Twenty drones are conducting distributed swarm movements in a dynamic threat area to counter two targets (AGENT method). [EB/OL]. [2024-11-30]. https://www. bilibili.com/video/BV1NssSeTEEX. | |
| 38 | 王琛. 20架无人机穿越动态威胁区分布式决策选择目标执行2个目标的反制任务(TACTICS方法)[EB/OL]. [2024-11-30]. https://www.bilibili.com/video/BV1MjsSekE4N. |
| WANG C. Twenty drones are conducting distributed swarm movements in a dynamic threat area to counter two targets (TACTICS method)[EB/OL]. [2024-11-30]. https://www. bilibili.com/video/BV1MjsSekE4N. |
| [1] | Fangjie GUO, Jing LI, Zhaohui ZHANG. Predefined-time lag consensus for MAS with input delay [J]. Systems Engineering and Electronics, 2025, 47(9): 3041-3046. |
| [2] | Ziyi WANG, Xiongjun FU, Jian DONG, Cheng FENG. Optimization of radar collaborative anti-jamming strategies based on hierarchical multi-agent reinforcement learning [J]. Systems Engineering and Electronics, 2025, 47(4): 1108-1114. |
| [3] | Jiale LI, Qilin ZHONG, Jie XIAO, Guofei LI. Adaptive fixed-time formation control for multi-agent system [J]. Systems Engineering and Electronics, 2025, 47(2): 600-607. |
| [4] | Weimin IU, Yongyue WANG, Xinyang MA, Jinkun LIU. Consensus control for input-delay multi-agent system with input constraint [J]. Systems Engineering and Electronics, 2024, 46(9): 3176-3184. |
| [5] | Jie ZHANG, Kairong LIU, Jinbao CHEN, Yingxue ZHANG, Chuanzhi CHEN, Hongzhi YU, Yunxiao ZHANG. Multi-agents formation control method based on space confrontation [J]. Systems Engineering and Electronics, 2024, 46(6): 2082-2091. |
| [6] | Guhao SUN, Zhongze CAI, Qingshuang ZENG. Fixed-time distributed tracking and control of multi-agent formation weighted centroid [J]. Systems Engineering and Electronics, 2024, 46(12): 4165-4172. |
| [7] | Pu ZHANG, Huifeng XUE, Shan GAO, Xuan ZUO. Distributed finite-time adaptive cooperative fault-tolerant control for multi-agent systems with integrated actuators faults [J]. Systems Engineering and Electronics, 2022, 44(4): 1220-1229. |
| [8] | Zhe LUO, Wanzhen QUAN, Purui ZHANG, Xiaogang YANG. Consensus tracking control for one-side Lipschitz nonlinear multi-agent systems [J]. Systems Engineering and Electronics, 2022, 44(1): 279-284. |
| [9] | Jiayi LIU, Shaohua YUE, Gang WANG, Xiaoqiang YAO, Jie ZHANG. Cooperative evolution algorithm of multi-agent system under complex tasks [J]. Systems Engineering and Electronics, 2021, 43(4): 991-1002. |
| [10] | Pu ZHANG, Huifeng XUE, Shan GAO, Xuan ZUO. Distributed adaptive cooperative tracking control of multi-agent system with weak communication [J]. Systems Engineering and Electronics, 2021, 43(2): 487-498. |
| [11] | Ang GAO, Zhiming DONG, Liang LI, Jinghua SONG, Li DUAN. Parallel priority experience replay mechanism of MADDPG algorithm [J]. Systems Engineering and Electronics, 2021, 43(2): 420-433. |
| [12] | Jiayi LIU, Gang WANG, Jie ZHANG, Chuang WANG, Xituan SONG. Target optimal assignment model based on improved AGD-distributed multi-Agent system [J]. Systems Engineering and Electronics, 2020, 42(4): 863-870. |
| [13] | ZHOU Jian, GONG Chunlin, GU Liangxian, SU Hua. Distributed synchronization of leader-follower systems with unmatched uncertainties [J]. Systems Engineering and Electronics, 2019, 41(3): 636-642. |
| [14] | CHEN Wu, FAN Mingkai, LI Zehong, JIN Xin, HONG Liang. Design of network robustness for drone swarm system [J]. Systems Engineering and Electronics, 2019, 41(11): 2633-2640. |
| [15] | NI Peng1,2, LIU Jinmang1, FU Qiang1, GAO Jiale1. #br# Research on layered decisionmaking of multisensor planning based onheterogeneous MAS in antiTBM combat [J]. Systems Engineering and Electronics, 2016, 38(8): 1816-1825. |
| Viewed | ||||||
|
Full text |
|
|||||
|
Abstract |
|
|||||