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1

Cheng, Z., D. S. Necsulescu, B. Kim, and J. Z. Sasiadek. "NONLINEAR CONTROL FOR UAV FORMATION FLYING." IFAC Proceedings Volumes 41, no. 2 (2008): 791–96. http://dx.doi.org/10.3182/20080706-5-kr-1001.00136.

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2

Lobaty, A. A., A. Y. Bumai, and A. M. Avsievich. "Formation of unmanned aircraft trajectory when flying around prohibited areas." «System analysis and applied information science», no. 4 (January 5, 2022): 47–53. http://dx.doi.org/10.21122/2309-4923-2021-4-47-53.

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Considered the problem of flying over restricted areas by an unmanned aerial vehicle (UAV), which have various shapes and restrictions, set on the basis of the international airspace classification system for aviation in accordance with the Chicago Convention and the recommended principles for the formation of forbidden zones, rules for creating a flight route along forbidden zones and actions in case of border violations of restricted areas. The problem of analytical synthesis of the control acceleration of an unmanned aerial vehicle (UAV) is solved during its flight along a route passing alo
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3

Wang, Xiaohua, Vivek Yadav, and S. N. Balakrishnan. "Cooperative UAV Formation Flying With Obstacle/Collision Avoidance." IEEE Transactions on Control Systems Technology 15, no. 4 (2007): 672–79. http://dx.doi.org/10.1109/tcst.2007.899191.

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4

Zhao, Jianqiang, Wei Hu, Zirui Dong, and Liwen Kang. "A Study of the Purely Azimuthal Passive Positioning Problem of UAVs." Journal of Physics: Conference Series 2449, no. 1 (2023): 012036. http://dx.doi.org/10.1088/1742-6596/2449/1/012036.

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Abstract In order to maintain electromagnetic silence and avoid external interference, UAV clusters usually use purely azimuthal passive positioning methods to adjust the position of UAVs when attempting formation flights. However, due to the large number of UAVs flying in formation, it is difficult to perform effective localization, although they can keep flying at an altitude based on their own sensors. Therefore, this paper establishes a passive positioning model based on the triangulation method under the condition of pure azimuthal passive positioning, solves the coordinates of the UAV po
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Bumai, A. Y. "Methods for formation trajectories of motion of unmanned aircraft vehicles when flying around specified areas of space." «System analysis and applied information science», no. 2 (September 2, 2024): 25–29. http://dx.doi.org/10.21122/2309-4923-2024-2-25-29.

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The article analyzes various methods for constructing motion trajectories of unmanned aerial vehicles (UAVs) when flying over specified areas of space. The analytical results of the studies are presented in the form of qualitative illustrations of the methods under consideration, as well as the proposed methodology for forming an optimal UAV flight trajectory along the boundaries of a given area of space, taking into account the corresponding processes of changing the control acceleration and speed of the UAV and allowing the formation of requirements for the UAV control system at the prelimin
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Kazimierczak, Roman, Wiesław Milewski, Zdzisław Gosiewski, Leszek Ambroziak, and Cezary Kownacki. "Towards implementation of a formation flying for efficient UAV operations." Journal of KONBiN 48, no. 1 (2018): 399–417. http://dx.doi.org/10.2478/jok-2018-0063.

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Abstract A flight of a UAV formation is an efficient way to implement surveillance and reconnaissance operations. The usage of a few UAVs as a formation instead of a single vehicle allows creating a distributed network of sensors, which decreases the duration of flight missions and enlarges a total field of view. From a practical point of view, implementations of formation flights require taking into account several separate aspects of flight of UAV such as a quick take-off of several aircraft, aggregating all UAVs in the same space to create swarm and collective flight of the formation toward
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7

Park, Jin-Hee, Yeon-Joo Kim, and Jin-Wook Chung. "Dynamic Tree Formation Protocol in UAV Formation Flying Network for Disaster Monitoring." Journal of Korea Navigation Institute 16, no. 2 (2012): 271–77. http://dx.doi.org/10.12673/jkoni.2012.16.2.271.

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8

Jin, Yuxuan, Tiantian Song, Chengjie Dai, Ke Wang, and Guanghua Song. "Autonomous UAV Chasing with Monocular Vision: A Learning-Based Approach." Aerospace 11, no. 11 (2024): 928. http://dx.doi.org/10.3390/aerospace11110928.

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In recent years, unmanned aerial vehicles (UAVs) have shown significant potential across diverse applications, drawing attention from both academia and industry. In specific scenarios, UAVs are expected to achieve formation flying without relying on communication or external assistance. In this context, our work focuses on the classic leader-follower formation and presents a learning-based UAV chasing control method that enables a quadrotor UAV to autonomously chase a highly maneuverable fixed-wing UAV. The proposed method utilizes a neural network called Vision Follow Net (VFNet), which integ
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9

Tang, Chenchong, Beining Ying, Ruoxuan Gu, and Shengying Yang. "Research on Purely Azimuth Passive Localization Model for UAV Formation Flight." Journal of Physics: Conference Series 2861, no. 1 (2024): 012001. http://dx.doi.org/10.1088/1742-6596/2861/1/012001.

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Abstract The practical applications of unmanned aerial vehicle (UAV) formation passive localization demand high accuracy and anti-interference ability. In this paper, a novel passive localization model based on analytical geometry and improved damped Gauss-Newton optimization method is proposed, which incorporates the improved damped Gauss-Newton algorithm and the error-based iterative algorithm for real-time coordinate correction of formation. Through Matlab simulation experiments, the proposed error-based iterative algorithm can stabilize the flight formation after only 24 iterations, and th
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10

Zhou, Jinlun, Honghai Zhang, Mingzhuang Hua, Fei Wang, and Jia Yi. "P-DRL: A Framework for Multi-UAVs Dynamic Formation Control under Operational Uncertainty and Unknown Environment." Drones 8, no. 9 (2024): 475. http://dx.doi.org/10.3390/drones8090475.

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Unmanned aerial vehicle (UAV) formation flying is an efficient and economical operation mode for air transportation systems. To improve the effectiveness of synergetic formation control for UAVs, this paper proposes a pairwise conflict resolution approach for UAV formation through mathematical analysis and designs a dynamic pairing and deep reinforcement learning framework (P-DRL formation control framework). Firstly, a new pairwise UAV formation control theorem is proposed, which breaks down the multi-UAVs formation control problem into multiple sequential control problems involving UAV pairs
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11

Wang, Yiru, Bo Zhang, Huibing Yang, Zichun Tang, Hanxu Li, and Xuanlin Liu. "UAV Formation Adjustment Strategy Based on Greedy Criterion." Journal of Physics: Conference Series 2555, no. 1 (2023): 012008. http://dx.doi.org/10.1088/1742-6596/2555/1/012008.

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Abstract In order to ensure that the UAV cluster remains electromagnetically silent during the attempted formation flight, so that the emission of electromagnetic wave signalsj is minimised, a purely azimuthal passive positioning method can be used to adjust the position of the UAVs. As it is difficult to keep the UAVs in formation flying on the same horizontal plane for a long time and the initial position information of the UAVs is not known. Therefore, this paper uses the sine and cosine theorems of in-plane triangles to connect slightly deviating UAVs to a determined UAV position, and in c
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12

Ruan, Lang, Jin Chen, Qiuju Guo, Han Jiang, Yuli Zhang, and Dianxiong Liu. "A Coalition Formation Game Approach for Efficient Cooperative Multi-UAV Deployment." Applied Sciences 8, no. 12 (2018): 2427. http://dx.doi.org/10.3390/app8122427.

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Unmanned aerial vehicle (UAV) cooperative control has been an important issue in UAV-assisted sensor networks, thanks to the considerable benefit obtained from the cooperative mechanism of UAVs being applied as a flying base station. In a coverage scenarios, the trade-off between coverage and transmission performance often makes deployment of UAVs fall into a dilemma, since both indexes are related to the distance between UAVs. To address this issue, UAV coverage and data transmission mechanism is analyzed in this paper; then, an efficient multi-UAV cooperative deployment model is proposed. Th
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Zhao, Shufan, Liming Shi, Qingbo Qu, Feixiang Zhu, and Xinyi Yang. "Demand analysis on the performance of shipboard alert unmanned aerial vehicles." MATEC Web of Conferences 189 (2018): 10016. http://dx.doi.org/10.1051/matecconf/201818910016.

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Shipboard alert unmanned aerial vehicles (UAV) has great significance to improve early warning detection capability of aircraft carrier formation. This paper first analyzes and summarizes the tactical and technical indicators of the carrier-based air early warning(AEW), then analyzes the tactical and technical indicators of the UAV refer to technical performance of early warning aircraft, and finally determines the performance indicators of the UAV. Its anterior distance is 400km, the stable working height is 9000m, the maximum level flight speed is 670km/h, and flying time in the mission area
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14

Wang, XiangYu, YanYu Zhang, ZhengYang Liu, et al. "Structure management scheme of flying ad-hoc networks (FANET): A dynamic weight values weighted clustering algorithm." Journal of Physics: Conference Series 2330, no. 1 (2022): 012004. http://dx.doi.org/10.1088/1742-6596/2330/1/012004.

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Abstract To resolve the problem of structure management in Unmanned Aerial Vehicle(UAV) formation, a dynamic weight values weighted clustering algorithm(DWVWCA) is proposed in this article, in which the cluster scheme for network optimization is used. Firstly, the residual energy model is improved to be more realistic. Secondly, the combined weighting method is introduced to make the comprehensive weight value of the UAV subjective and objective. Finally, the dynamic weight threshold is introduced to calculate the comprehensive weight value in real-time. The simulation results show that DWVWCA
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15

Erkec, Tuncay Yunus, and Chingiz Hajiyev. "Relative Navigation in UAV Applications." International Journal of Aviation Science and Technology vm01, is02 (2020): 52–65. http://dx.doi.org/10.23890/ijast.vm01is02.0202.

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This paper is committed to the relative navigation of Unmanned Aerial Vehicles (UAVs) flying in formation flight. The concept and methods of swarm UAVs technology and architecture have been explained. The relative state estimation models of unmanned aerial vehicles which are based on separate systems as Inertial Navigation Systems (INS)&Global Navigation Satellite System (GNSS), Laser&INS and Vision based techniques have been compared via various approaches. The sensors are used individually or integrated each other via sensor integration for solving relative navigation problems. The U
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16

Shin, Hyo-Sang, Antonis F. Antoniadis, and Antonios Tsourdos. "Parametric Study on Formation Flying Effectiveness for a Blended-Wing UAV." Journal of Intelligent & Robotic Systems 93, no. 1-2 (2018): 179–91. http://dx.doi.org/10.1007/s10846-018-0842-4.

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17

Kumar, Sudesh, Abhishek Bansal, and Ram Shringar Raw. "Analysis of Effective Routing Protocols for Flying Ad-Hoc Networks." International Journal of Smart Vehicles and Smart Transportation 3, no. 2 (2020): 1–18. http://dx.doi.org/10.4018/ijsvst.2020070101.

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Recently, the flying ad-hoc network (FANETs) is a popular networking technology used to create a wireless network through unmanned aerial vehicles (UAVs). In this network, the UAV nodes work as intermediate nodes that communicate with each other to transmit data packets over the network, in the absence of fixed an infrastructure. Due to high mobility degree of UAV nodes, network formation and deformation among the UAVs are very frequent. Therefore, effective routing is a more challenging issue in FANETs. This paper presents performance evaluations and comparisons of the popular topology-based
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18

Gosiewski, Zdzisław, and Leszek Ambroziak. "UAV Autonomous Formation Flight Experiment with Virtual Leader Control Structure." Solid State Phenomena 198 (March 2013): 254–59. http://dx.doi.org/10.4028/www.scientific.net/ssp.198.254.

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The problem of autonomous formation flight control of UAVs (Unmanned Aerial Vehicles) is presented in the paper. A decentralized control method of the autonomous formation flight realization is described. A practical approach to the UAV formation flight control was shown. The applied method bases on the information exchange between flying objects. The shared data concern the position and velocity of the aircraft. Constructed UAV airframe was presented as well as used autopilot, developed formation flight control unit, wireless communication links and used data packet structure. The main aim of
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19

Evdokimenkov, V. N., P. G. Ermakov, and A. A. Gogolev. "Operational control of an unmanned aerial vehicle helicopter type to ensure emergency safe landing on an unequipped pad." Teoriâ i sistemy upravleniâ, no. 3 (December 12, 2024): 169–82. https://doi.org/10.31857/s0002338824030196.

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The problem of providing an emergency landing of an unmanned aerial vehicle (UAV) helicopter type flying in a certain area of the target application is considered. The two-stage algorithm for finding an unprepared landing pad taking into account a set of requirements is proposed. At the first stage, using a digital elevation map placed on an UAV helicopter type board a route for overflying unprepared landing pads in terms of surface topography is calculated. A route formation is achieved by sequentially solving static optimization problems in order to minimize the average losses that occur whe
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20

Zhang, Da Qiao, Jiu Fen Zhao, Gang Lei, Shun Hong Wang, and Xiao Long Zheng. "Hurry Path Planning Based on Adaptive Genetic Algorithm." Applied Mechanics and Materials 446-447 (November 2013): 1292–97. http://dx.doi.org/10.4028/www.scientific.net/amm.446-447.1292.

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During formation flying, Unmanned Aerial Vehicles (UAV) may need to arrive at target ahead of schedule by hurry path. Given fixed flight high mode, hurry planning method was proposed based on Adaptive Genetic Algorithm (AGA), which makes the new path shorter by locally adjusting the default path. By full considering the risk of UAV flight, the hurry path got by AGA meets the requirements of the risk cost and time amount in advance. Simulation results show that the path gotten by AGA can better meet the requirements of the time amount in advance, and evade the threat area effectively too.
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21

Yang, Juntang, Yogesh Khedar, Mohamed Khalil Ben-Larbi, et al. "Concept and Feasibility Evaluation of Distributed Sensor-Based Measurement Systems Using Formation Flying Multicopters." Atmosphere 12, no. 7 (2021): 874. http://dx.doi.org/10.3390/atmos12070874.

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Unmanned aerial vehicles (UAVs) have been used for increasing research applications in atmospheric measurements. However, most current solutions for these applications are based on a single UAV with limited payload capacity. In order to address the limitations of the single UAV-based approach, this paper proposes a new concept of measurements using tandem flying multicopters as a distributed sensor platform. Key challenges of the proposed concept are identified including the relative position estimation and control in wind-perturbed outdoor environment and the precise alignment of payloads. In
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Yu, Yang, Jianlin Chen, Zixuan Zheng, and Jianping Yuan. "Distributed Finite-Time ESO-Based Consensus Control for Multiple Fixed-Wing UAVs Subjected to External Disturbances." Drones 8, no. 6 (2024): 260. http://dx.doi.org/10.3390/drones8060260.

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This paper puts forward a coordinated formation control scheme for multiple fixed-wing unmanned aerial vehicle (UAV) systems with external nonlinear disturbances including not only the drag force and uncertain lateral force, but also the drag, lift, and lateral forces caused by wake vortices. A novel distributed finite-time extended state observer is designed to estimate both the unmeasurable states and uncertain external nonlinear disturbances of each fixed-wing UAV. In particular, an event-triggered mechanism is employed to reduce the burden of communication networks among multiple fixed-win
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23

İnan, Ahmet Talat, and Berkay Çetin. "CFD Analysis of Aerodynamic Characteristics in a Square-Shaped Swarm Formation of Four Quadcopter UAVs." Applied Sciences 14, no. 15 (2024): 6820. http://dx.doi.org/10.3390/app14156820.

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The aerodynamic behavior of a square-shaped formation of four quadcopter UAVs flying in a swarm is investigated in detail through three-dimensional computer simulations utilizing Computational Fluid Dynamics (CFD) methodology. The swarm configuration comprises four UAVs positioned with two in the upper row and two in the lower row along the same propeller axes. The flow profile generated by the UAV propellers rotating at 10,000 revolutions per minute is analyzed parametrically using the Multiple Reference Frame (MRF) technique. UAVs within the swarm are positioned at 75 cm from the motion cent
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Saban, D., J. F. Whidborne, and A. K. Cooke. "Simulation of wake vortex effects for UAVs in close formation flight." Aeronautical Journal 113, no. 1149 (2009): 727–38. http://dx.doi.org/10.1017/s0001924000003389.

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AbstractThis paper addresses the development of multiple UAV deployment simulation models that include representative aerodynamic cross-coupling effects. Applications may include simulations of autonomous aerial refuelling and formation flying scenarios. A novel wake vortex model has been developed and successfully integrated within a Matlab/Simulink simulation environment. The wake vortex model is both sufficiently representative to support studies of aerodynamic interaction between multiple air vehicles, and straightforward enough to be used within real time or near real time air-to-air simu
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Han, Liang, Yue Wang, Ziwei Yan, Xiaoduo Li, and Zhang Ren. "Event-triggered formation control with obstacle avoidance for multi-agent systems applied to multi-UAV formation flying." Control Engineering Practice 153 (December 2024): 106105. http://dx.doi.org/10.1016/j.conengprac.2024.106105.

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26

Muslimov, Tagir Z., and Rustem A. Munasypov. "Multi-UAV cooperative target tracking via consensus-based guidance vector fields and fuzzy MRAC." Aircraft Engineering and Aerospace Technology 93, no. 7 (2021): 1204–12. http://dx.doi.org/10.1108/aeat-02-2021-0058.

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Purpose This paper aims to propose a multi-agent approach to adaptive control of fixed-wing unmanned aerial vehicles (UAVs) tracking a moving ground target. The approach implies that the UAVs in a single group must maintain preset phase shift angles while rotating around the target so as to evaluate the target’s movement more accurately. Thus, the controls should ensure that the UAV swarm follows a moving circular path whose center is the target while also attaining and maintaining a circular formation of a specific geometric shape; and the formation control system is capable of self-tuning be
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27

Wadood, Abdul, Al-Fahad Yousaf, and Aadel Mohammed Alatwi. "An Enhanced Multiple Unmanned Aerial Vehicle Swarm Formation Control Using a Novel Fractional Swarming Strategy Approach." Fractal and Fractional 8, no. 6 (2024): 334. http://dx.doi.org/10.3390/fractalfract8060334.

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This paper addresses the enhancement of multiple Unmanned Aerial Vehicle (UAV) swarm formation control in challenging terrains through the novel fractional memetic computing approach known as fractional-order velocity-pausing particle swarm optimization (FO-VPPSO). Existing particle swarm optimization (PSO) algorithms often suffer from premature convergence and an imbalanced exploration–exploitation trade-off, which limits their effectiveness in complex optimization problems such as UAV swarm control in rugged terrains. To overcome these limitations, FO-VPPSO introduces an adaptive fractional
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Wang, Xinhua, Mingyan Cheng, Shuai Zhang, and Huajun Gong. "Multi-UAV Cooperative Obstacle Avoidance of 3D Vector Field Histogram Plus and Dynamic Window Approach." Drones 7, no. 8 (2023): 504. http://dx.doi.org/10.3390/drones7080504.

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In this paper, we propose a fusion algorithm that integrates the 3D vector field histogram plus (VFH+) algorithm and the improved dynamic window approach (DWA) algorithm. The aim is to address the challenge of cooperative obstacle avoidance faced by multi-UAV formation flying in unknown environments. First, according to the navigation evaluation function of the standard DWA algorithm, the target distance is introduced to correct the azimuth. Then, aiming at the problem that the fixed weight mechanism in standard DWA algorithm is unreasonable, we combine the A* algorithm and introduce variable
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Džunda, Milan, Peter Dzurovčin, Sebastián Čikovský, and Lucia Melníková. "Determining the Location of the UAV When Flying in a Group." Aerospace 11, no. 4 (2024): 312. http://dx.doi.org/10.3390/aerospace11040312.

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This paper created a flight trajectory model of five uncrewed aerial vehicles (UAVs) in the geocentric coordinate system, provided the UAVs fly in the specified formation. Based on this model, equations for determining the position of a selected member of a group of UAVs were created, provided that the group communicates with each other in its telecommunications network. The simulation confirmed that if we know the exact coordinates of the four member UAVs of the group and their distances from the leader of the group, then the mean value of the error in determining its position in flight is eq
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Li, Qing, Yongzhao Hua, Xiwang Dong, Jianglong Yu, and Zhang Ren. "Time-Varying Formation Tracking Control for Unmanned Aerial Vehicles with the Leader’s Unknown Input and Obstacle Avoidance: Theories and Applications." Electronics 11, no. 15 (2022): 2334. http://dx.doi.org/10.3390/electronics11152334.

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This paper investigates the time-varying formation tracking (TVFT) problems for unmanned aerial vehicle (UAV) swarm systems with the leader’s unknown input and collision and obstacle avoidance mechanism. To solve the TVFT control problem which has not been studied extensively, distributed observers are proposed to estimate the leader’s position and a TVFT control protocol is constructed. Stability of control protocol is proved by Lyapunov stability theory. Furthermore, the effectiveness of the TVFT control protocol is verified by numerical simulations and flying experiments, which is more conv
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Miller, Anna J., Fabiola Ramelli, Christopher Fuchs, et al. "Two new multirotor uncrewed aerial vehicles (UAVs) for glaciogenic cloud seeding and aerosol measurements within the CLOUDLAB project." Atmospheric Measurement Techniques 17, no. 2 (2024): 601–25. http://dx.doi.org/10.5194/amt-17-601-2024.

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Abstract. Uncrewed aerial vehicles (UAVs) have become widely used in a range of atmospheric science research applications. Because of their small size, flexible range of motion, adaptability, and low cost, multirotor UAVs are especially well-suited for probing the lower atmosphere. However, their use so far has been limited to conditions outside of clouds, first because of the difficulty of flying beyond visual line of sight and second because of the challenge of flying in icing conditions in supercooled clouds. Here, we present two UAVs for cloud microphysical research: one UAV (the measureme
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Pulhani, Yashu, Ankur Singh Kang, and Vishal Sharma. "Performance analysis on self organization based clustering scheme for FANETs using K-means algorithm and firefly optimization." International Journal of Informatics and Communication Technology (IJ-ICT) 11, no. 2 (2022): 148. http://dx.doi.org/10.11591/ijict.v11i2.pp148-159.

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<p><span>With the fast-increasing development of wireless communication networks, unmanned aerial vehicle (UAV) has emerged as a flying platform for wireless communication with efficient coverage, capacity, reliability, and its network is called flying ad-hoc network (FANET); which keeps changing its topology due to its dynamic nature, causing inefficient communication, and therefore needs cluster formation. In this paper, we proposed a cluster formation, selection of cluster head and its members, connectivity and transmission with the base station using the K-means algorithm, and
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Yashu, Pulhani, Singh Kang Ankur, and Sharma Vishal. "Performance analysis on self organization based clustering scheme for FANETs using K-means algorithm and firefly optimization." International Journal of Informatics and Communication Technology 11, no. 2 (2022): 148–59. https://doi.org/10.11591/ijict.v11i2.pp148-159.

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With the fast-increasing development of wireless communication networks, unmanned aerial vehicle (UAV) has emerged as a flying platform for wireless communication with efficient coverage, capacity, reliability, and its network is called flying ad-hoc network (FANET); which keeps changing its topology due to its dynamic nature, causing inefficient communication, and therefore needs cluster formation. In this paper, we proposed a cluster formation, selection of cluster head and its members, connectivity and transmission with the base station using the K-means algorithm, and choice of an optimize
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Lavezzi, Giovanni, Kidus Guye, Venanzio Cichella, and Marco Ciarcià. "Comparative Analysis of Nonlinear Programming Solvers: Performance Evaluation, Benchmarking, and Multi-UAV Optimal Path Planning." Drones 7, no. 8 (2023): 487. http://dx.doi.org/10.3390/drones7080487.

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In this paper, we propose a set of guidelines to select a solver for the solution of nonlinear programming problems. We conduct a comparative analysis of the convergence performances of commonly used solvers for both unconstrained and constrained nonlinear programming problems. The comparison metrics involve accuracy, convergence rate, and computational time. MATLAB is chosen as the implementation platform due to its widespread adoption in academia and industry. Our study includes solvers which are either freely available or require a license, or are extensively documented in the literature. M
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Ruan, Lang, Jin Chen, Qiuju Guo, Xiaobo Zhang, Yuli Zhang, and Dianxiong Liu. "Group Buying-Based Data Transmission in Flying Ad-Hoc Networks: A Coalition Game Approach." Information 9, no. 10 (2018): 253. http://dx.doi.org/10.3390/info9100253.

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In scenarios such as natural disasters and military strikes, it is common for unmanned aerial vehicles (UAVs) to form groups to execute reconnaissance and surveillance. To ensure the effectiveness of UAV communications, repeated resource acquisition issues and transmission mechanism designs need to be addressed urgently. Since large-scale UAVs will generate high transmission overhead due to the overlapping resource requirements, in this paper, we propose a resource allocation optimization method based on distributed data content in a Flying Ad-hoc network (FANET). The resource allocation probl
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Zaitseva, Alina A., Dmitriy K. Kilmakov, Evgeny A. Zaitsev, Dim R. Kultaev, and Matvey V. Belyavtsev. "DEVELOPMENT OF NAVIGATION ALGORITHM AND FORMATION OF SAFE TRAJECTORIES OF AUTONOMOUS FLIGHT OF AN UNMANNED AERIAL VEHICLE UNDER CONDITIONS OF NUMEROUS INTERFERENCES AND OBSTACLES." Electrical and data processing facilities and systems 19, no. 3 (2023): 167–78. http://dx.doi.org/10.17122/1999-5458-2023-19-3-167-178.

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Relevance The problem of navigation of unmanned aerial vehicles (UAV) in monitoring forest ecosystems is considered. The relevance of this study lies in the development of navigation algorithms and the formation of safe trajectories for autonomous flight of UAVs in the face of numerous interference and obstacles. Aim of research Analysis of modern means of forest ecosystem monitoring. The objectives of the research project are: 1. When solving the navigation problem, it is proposed to use «machine vision» technologies. These technologies make it possible to find and localize dangerous scene ob
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37

Hussain, Altaf, Habib Ullah Khan, Shah Nazir, Ijaz Ullah, and Tariq Hussain. "Taking FANET to Next Level." ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal 10, no. 4 (2022): 321–37. http://dx.doi.org/10.14201/adcaij2021104321337.

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Flying Ad-hoc Network (FANET) is a special member/class of Mobile Ad-hoc Network (MANET) in which the movable nodes are known as by the name of Unmanned Aerial Vehicles (UAVs) that are operated from a long remote distance in which there is no human personnel involved. It is an ad-hoc network in which the UAVs can more in 3D ways simultaneously in the air without any onboard pilot. In other words, this is a pilot free ad-hoc network also known as Unmanned Aerial System (UAS) and the component introduced for such a system is known as UAV. There are many single UAV applications but using multiple
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Xin, Yonghui, Ran Wang, Xi Wang, Xingwei Wang, Zhouxuan Xiao, and Jingyu Lin. "High-Resolution Terrain Reconstruction of Slot Canyon Using Backpack Mobile Laser Scanning and UAV Photogrammetry." Drones 6, no. 12 (2022): 429. http://dx.doi.org/10.3390/drones6120429.

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Accurate terrain models are critical for studying the formation and development of slot canyons. However, for slot canyon landforms, it is challenging to generate comprehensive and high-resolution morphological data by individual observation due to the inaccessibility of steep walls on either side and the complexity of the field observation environment, such as variable-slope terrain, partial vegetation cover, and lack of satellite signal. Off-the-shelf surveying techniques, including Unmanned Aerial Vehicles (UAV) photogrammetry and Backpack Mobile Laser Scanning (BMLS), facilitate slot canyo
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39

Annamalai, Vinoth Kumar, and Selvakumaran Thunaipragasam. "Design, modeling and simulation of a control surface-less tri-tilt-rotor UAV." Aircraft Engineering and Aerospace Technology 94, no. 4 (2021): 541–52. http://dx.doi.org/10.1108/aeat-08-2021-0253.

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Purpose The purpose of this study is to design a flight control model for a control surface-less (CSL) tri-tilt-rotor (TTR) unmanned aerial vehicle (UAV) based on a Proportional Integral Derivative (PID) controller to stabilize the altitude and attitude of the UAV subjected to various flying conditions. Design/methodology/approach First, the proposed UAV with a tilting mechanism is designed and analyzed to obtain the aerodynamic parameters. Second, the dynamics of the proposed UAV are mathematically modeled using Newton-Euler formation. Then, the PID controller is implemented in the simulation
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Opromolla, Roberto, Giancarmine Fasano, and Domenico Accardo. "A Vision-Based Approach to UAV Detection and Tracking in Cooperative Applications." Sensors 18, no. 10 (2018): 3391. http://dx.doi.org/10.3390/s18103391.

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This paper presents a visual-based approach that allows an Unmanned Aerial Vehicle (UAV) to detect and track a cooperative flying vehicle autonomously using a monocular camera. The algorithms are based on template matching and morphological filtering, thus being able to operate within a wide range of relative distances (i.e., from a few meters up to several tens of meters), while ensuring robustness against variations of illumination conditions, target scale and background. Furthermore, the image processing chain takes full advantage of navigation hints (i.e., relative positioning and own-ship
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41

Muslimov, Tagir. "Collision Avoidance in Circular Motion of a Fixed-Wing Drone Formation Based on Rotational Modification of Artificial Potential Field." Informatics and Automation 24, no. 1 (2025): 72–98. https://doi.org/10.15622/ia.24.1.4.

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In coordinated circular motion of a group of autonomous unmanned aerial vehicles (UAVs or drones), it is important to ensure that collisions between them are avoided. A typical situation occurs when one of the drones in a circular formation needs to overtake the drone ahead. The reason for such an overtake may be due to a given geometry of the UAV formation, when this configuration of a given relative position of the drones has changed for some reason. In this case, the limited maneuverability of UAVs of exactly fixed-wing type requires taking into account the peculiarities of their dynamics i
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Kumar, Deepak, and Dr Sonia. "Highly Optimized Energy Saving Protocol for Flying ad-hoc Network." International Journal for Research in Applied Science and Engineering Technology 11, no. 3 (2023): 2177–89. http://dx.doi.org/10.22214/ijraset.2023.49910.

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bstract: FANET has opened up a wide arena for the study and implementation of drone and UAV (unmanned aerial vehicle) efficiency in a variety of military and rescue applications. In this paper, we propose a hybrid energy-aware routing protocol. The approaches are based on two swarm intelligence methods: ant colony optimization (ACO) and particle swarm optimization (PSO). The performances of these approaches are compared with other bio-inspired feature selection methods based on ant colony optimization, particle swarm optimization, and grey wolf optimization. we propose a hybrid energy-aware cl
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Dobrea, Dan-Marius, and Matei-Ștefan Dobrea. "A Versatile UAS Development Platform Able to Support a Novel Tracking Algorithm in Real-Time." Aerospace 12, no. 8 (2025): 649. https://doi.org/10.3390/aerospace12080649.

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A primary objective of this research entails the development of an innovative algorithm capable of tracking a drone in real-time. This objective serves as a fundamental requirement across various applications, including collision avoidance, formation flying, and the interception of moving targets. Nonetheless, regardless of the efficacy of any detection algorithm, achieving 100% performance remains unattainable. Deep neural networks (DNNs) were employed to enhance this performance. To facilitate real-time operation, the DNN must be executed within a Deep Learning Processing Unit (DPU), Neural
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Sun, Kangwen, Yixiang Gao, Zhiyao Wang, Haoquan Liang, Chenxuan Zhao, and Xinzhe Ji. "Research on an Aerial Docking Strategy for Meta-UAVs Using Aerodynamic Data Surrogate Models." Drones 9, no. 1 (2024): 7. https://doi.org/10.3390/drones9010007.

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Meta-aircraft, in High-Altitude, Long-Endurance (HALE) unmanned aerial vehicle (UAV) applications, utilize a strategy of formation flying in the stratosphere and aerial docking in the troposphere to enhance flight range and gust resistance. This paper explores an aerial docking strategy for unmanned meta-aircraft using a surrogate model based on aerodynamic data. The study begins with an analysis of the aerodynamic characteristics and the establishment of a dynamic model, followed by the development of a surrogate model using the vortex lattice method and a BP neural network. This model accura
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Vasilyev, G. S., O. R. Kuzichkin, I. A. Kurilov, and D. I. Surzhik. "Hierarchical model of information signals formation at the physical layer in FANET." Revista de la Universidad del Zulia 11, no. 30 (2020): 178–88. http://dx.doi.org/10.46925//rdluz.30.13.

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Creation of reliable and efficient flying ad-hoc networks (FANET) requires detailed development of the model of the physical layer of data transmission, determined by the conditions of operation of the networks. The problems of well-known software simulators of communication networks are the simplified nature of the physical layer, as well as the inability to obtain specific analytical solutions in the process of simulation. The hierarchical model of formation of information signals which allows to represent various types of communication channels and the channel-forming equipment, for providi
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Trujillo, Juan-Carlos, Rodrigo Munguia, Edmundo Guerra, and Antoni Grau. "Visual-Based SLAM Configurations for Cooperative Multi-UAV Systems with a Lead Agent: An Observability-Based Approach." Sensors 18, no. 12 (2018): 4243. http://dx.doi.org/10.3390/s18124243.

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In this work, the problem of the cooperative visual-based SLAM for the class of multi-UA systems that integrates a lead agent has been addressed. In these kinds of systems, a team of aerial robots flying in formation must follow a dynamic lead agent, which can be another aerial robot, vehicle or even a human. A fundamental problem that must be addressed for these kinds of systems has to do with the estimation of the states of the aerial robots as well as the state of the lead agent. In this work, the use of a cooperative visual-based SLAM approach is studied in order to solve the above problem
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Wang, Jianhua, Liang Han, Xiaoduo Li, Xiwang Dong, Qingdong Li, and Zhang Ren. "Time-varying formation of second-order discrete-time multi-agent systems under non-uniform communication delays and switching topology with application to UAV formation flying." IET Control Theory & Applications 14, no. 14 (2020): 1947–56. http://dx.doi.org/10.1049/iet-cta.2020.0183.

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Causa, Flavia, and Giancarmine Fasano. "Improved In-Flight Estimation of Inertial Biases through CDGNSS/Vision Based Cooperative Navigation." Sensors 21, no. 10 (2021): 3438. http://dx.doi.org/10.3390/s21103438.

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This paper discusses the exploitation of a cooperative navigation strategy for improved in-flight estimation of inertial sensors biases on board unmanned aerial vehicles. The proposed multi-vehicle technique is conceived for a “chief” Unmanned Aerial Vehicle (UAV) and relies on one or more deputy aircrafts equipped with Global Navigation Satellite System (GNSS) antennas for differential positioning which also act as features for visual tracking. Combining carrier-phase differential GNSS and visual estimates, it is possible to retrieve accurate inertial-independent attitude information, thus po
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Погудін, А. В., О. К. Погудіна, А. М. Биков та Т. А. Пластун. "МОДЕЛЮВАННЯ АВТОМАТИЧНОГО ПОЛЬОТУ МАЛОГО БЕЗПІЛОТНОГО ЛІТАЛЬНОГО АПАРАТУ НАД ЛІНІЄЮ-МАРКЕРОМ". Open Information and Computer Integrated Technologies, № 95 (26 жовтня 2022): 71–82. http://dx.doi.org/10.32620/oikit.2022.95.06.

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The subject of study is the process of automating the behavior of an unmanned aerial vehicle during a flight following a given marker inside a room. The goal is to reduce the distance of deviation from the course and reduce the time to complete the flight along the trajectory set by the contrasting marker on the ground. The task: to conduct an analysis of existing libraries capable of performing automatic flight simulation and adaptation of the received code to the hardware platform of modern unmanned aerial vehicles; review the structure of the selected library, and modify the components of t
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Upadhyay, Jatin, Abhishek Rawat, and Dipankar Deb. "Multiple Drone Navigation and Formation Using Selective Target Tracking-Based Computer Vision." Electronics 10, no. 17 (2021): 2125. http://dx.doi.org/10.3390/electronics10172125.

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Autonomous unmanned aerial vehicles work seamlessly within the GPS signal range, but their performance deteriorates in GPS-denied regions. This paper presents a unique collaborative computer vision-based approach for target tracking as per the image’s specific location of interest. The proposed method tracks any object without considering its properties like shape, color, size, or pattern. It is required to keep the target visible and line of sight during the tracking. The method gives freedom of selection to a user to track any target from the image and form a formation around it. We calculat
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