Artykuły w czasopismach na temat „Quadrotors swarm”
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Nakano, Reiichiro Christian S., Ryan Rhay P. Vicerra, Laurence A. Gan Lim, Edwin Sybingco, Elmer P. Dadios i Argel A. Bandala. "Utilization of the Physicomimetics Framework for Achieving Local, Decentralized, and Emergent Behavior in a Swarm of Quadrotor Unmanned Aerial Vehicles (QUAV)". Journal of Advanced Computational Intelligence and Intelligent Informatics 21, nr 2 (15.03.2017): 189–96. http://dx.doi.org/10.20965/jaciii.2017.p0189.
Pełny tekst źródłaXie, Yichen, Yuzhu Li i Wei Dong. "Behavior Prediction Based Trust Evaluation for Adaptive Consensus of Quadrotors". Drones 6, nr 12 (22.11.2022): 371. http://dx.doi.org/10.3390/drones6120371.
Pełny tekst źródłaJoelianto, Endra, Daniel Christian i Agus Samsi. "Swarm control of an unmanned quadrotor model with LQR weighting matrix optimization using genetic algorithm". Journal of Mechatronics, Electrical Power, and Vehicular Technology 11, nr 1 (30.07.2020): 1. http://dx.doi.org/10.14203/j.mev.2020.v11.1-10.
Pełny tekst źródłaKhodayari, Houri, Farshad Pazooki i AliReza Khodayari. "Motion optimization algorithm designing for swarm quadrotors in application of grasping objects". Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering 233, nr 11 (26.11.2018): 3938–51. http://dx.doi.org/10.1177/0954410018812615.
Pełny tekst źródłaApriaskar, Esa. "PURWARUPA SISTEM PENDETEKSI JARAK ANTAR QUADROTOR DENGAN SENSOR GPS". INOVTEK POLBENG 8, nr 2 (31.12.2018): 250. http://dx.doi.org/10.35314/ip.v8i2.768.
Pełny tekst źródłaFaelden, Gerard Ely U., Ryan Rhay P. Vicerra, Laurence A. Gan Lim, Edwin Sybingco, Elmer P. Dadios i Argel A. Bandala. "Implementation of Swarm Social Foraging Behavior in Unmanned Aerial Vehicle (UAV) Quadrotor Swarm". Journal of Advanced Computational Intelligence and Intelligent Informatics 21, nr 2 (15.03.2017): 197–204. http://dx.doi.org/10.20965/jaciii.2017.p0197.
Pełny tekst źródłaCardona, Gustavo A., Juan Ramirez-Rugeles, Eduardo Mojica-Nava i Juan M. Calderon. "Visual victim detection and quadrotor-swarm coordination control in search and rescue environment". International Journal of Electrical and Computer Engineering (IJECE) 11, nr 3 (1.06.2021): 2079. http://dx.doi.org/10.11591/ijece.v11i3.pp2079-2089.
Pełny tekst źródłaCarbone, Carlos, Oscar Garibaldi i Zohre Kurt. "Swarm Robotics as a Solution to Crops Inspection for Precision Agriculture". KnE Engineering 3, nr 1 (11.02.2018): 552. http://dx.doi.org/10.18502/keg.v3i1.1459.
Pełny tekst źródłaHovell, Kirk, Steve Ulrich i Murat Bronz. "Learned Multiagent Real-Time Guidance with Applications to Quadrotor Runway Inspection". Field Robotics 2, nr 1 (10.03.2022): 1105–33. http://dx.doi.org/10.55417/fr.2022036.
Pełny tekst źródłaKushleyev, Alex, Daniel Mellinger, Caitlin Powers i Vijay Kumar. "Towards a swarm of agile micro quadrotors". Autonomous Robots 35, nr 4 (10.07.2013): 287–300. http://dx.doi.org/10.1007/s10514-013-9349-9.
Pełny tekst źródłaBandala, Argel A., Elmer P. Dadios, Ryan Rhay P. Vicerra i Laurence A. Gan Lim. "Swarming Algorithm for Unmanned Aerial Vehicle (UAV) Quadrotors – Swarm Behavior for Aggregation, Foraging, Formation, and Tracking –". Journal of Advanced Computational Intelligence and Intelligent Informatics 18, nr 5 (20.09.2014): 745–51. http://dx.doi.org/10.20965/jaciii.2014.p0745.
Pełny tekst źródłaWeinstein, Aaron, Adam Cho, Giuseppe Loianno i Vijay Kumar. "Visual Inertial Odometry Swarm: An Autonomous Swarm of Vision-Based Quadrotors". IEEE Robotics and Automation Letters 3, nr 3 (lipiec 2018): 1801–7. http://dx.doi.org/10.1109/lra.2018.2800119.
Pełny tekst źródłaJoelianto, Endra, Winarendra Satya Rajasa i Agus Samsi. "Sistem Kontrol Swarm untuk Flocking Wahana NR-Awak Quadrotor dengan Optimasi Algoritma Genetik". Jurnal Teknologi Informasi dan Ilmu Komputer 8, nr 6 (24.11.2021): 1089. http://dx.doi.org/10.25126/jtiik.2021863467.
Pełny tekst źródłaLeonard, J., A. Savvaris i A. Tsourdos. "Distributed reactive collision avoidance for a swarm of quadrotors". Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering 231, nr 6 (18.05.2016): 1035–55. http://dx.doi.org/10.1177/0954410016647074.
Pełny tekst źródłaYañez-Badillo, Hugo, Francisco Beltran-Carbajal, Ruben Tapia-Olvera, Antonio Favela-Contreras, Carlos Sotelo i David Sotelo. "Adaptive Robust Motion Control of Quadrotor Systems Using Artificial Neural Networks and Particle Swarm Optimization". Mathematics 9, nr 19 (24.09.2021): 2367. http://dx.doi.org/10.3390/math9192367.
Pełny tekst źródłaTrizuljak, Adam, Frantiek Duchoň, Jozef Rodina, Andrej Babinec, Martin Dekan i Roman Mykhailyshyn. "Control of a small quadrotor for swarm operation". Journal of Electrical Engineering 70, nr 1 (1.02.2019): 3–15. http://dx.doi.org/10.2478/jee-2019-0001.
Pełny tekst źródłaMcGuire, K. N., C. De Wagter, K. Tuyls, H. J. Kappen i G. C. H. E. de Croon. "Minimal navigation solution for a swarm of tiny flying robots to explore an unknown environment". Science Robotics 4, nr 35 (23.10.2019): eaaw9710. http://dx.doi.org/10.1126/scirobotics.aaw9710.
Pełny tekst źródłaSrisamosorn, Veerachart, Noriaki Kuwahara, Atsushi Yamashita, Taiki Ogata i Jun Ota. "Human-tracking system using quadrotors and multiple environmental cameras for face-tracking application". International Journal of Advanced Robotic Systems 14, nr 5 (1.09.2017): 172988141772735. http://dx.doi.org/10.1177/1729881417727357.
Pełny tekst źródłaTsykunov, Evgeny, Ruslan Agishev, Roman Ibrahimov, Luiza Labazanova, Akerke Tleugazy i Dzmitry Tsetserukou. "SwarmTouch: Guiding a Swarm of Micro-Quadrotors With Impedance Control Using a Wearable Tactile Interface". IEEE Transactions on Haptics 12, nr 3 (1.07.2019): 363–74. http://dx.doi.org/10.1109/toh.2019.2927338.
Pełny tekst źródłaElmokadem, Taha, i Andrey V. Savkin. "Computationally-Efficient Distributed Algorithms of Navigation of Teams of Autonomous UAVs for 3D Coverage and Flocking". Drones 5, nr 4 (25.10.2021): 124. http://dx.doi.org/10.3390/drones5040124.
Pełny tekst źródłaZhang, Yahui, Peng Yi i Yiguang Hong. "Cooperative Safe Trajectory Planning for Quadrotor Swarms". Sensors 24, nr 2 (22.01.2024): 707. http://dx.doi.org/10.3390/s24020707.
Pełny tekst źródłaEl gmili, Nada, Mostafa Mjahed, Abdeljalil El kari i Hassan Ayad. "Quadrotor Identification through the Cooperative Particle Swarm Optimization-Cuckoo Search Approach". Computational Intelligence and Neuroscience 2019 (24.07.2019): 1–10. http://dx.doi.org/10.1155/2019/8925165.
Pełny tekst źródłaManingo, Jose Martin Z., Ryan Rhay P. Vicerra, Laurence A. Gan Lim, Edwin Sybingco, Elmer P. Dadios i Argel A. Bandala. "Smoothed Particle Hydrodynamics Approach to Aggregation of Quadrotor Unmanned Aerial Vehicle Swarm". Journal of Advanced Computational Intelligence and Intelligent Informatics 21, nr 2 (15.03.2017): 181–88. http://dx.doi.org/10.20965/jaciii.2017.p0181.
Pełny tekst źródłaZhou, De Xin, Xin Chao Ma i Teng Da Ma. "Path Planning of Quadrotor Based on Quantum Particle Swarm Optimization Algorithm". Advanced Materials Research 760-762 (wrzesień 2013): 2018–22. http://dx.doi.org/10.4028/www.scientific.net/amr.760-762.2018.
Pełny tekst źródłaZhang, Qi, Yaoxing Wei i Xiao Li. "Quadrotor Attitude Control by Fractional-Order Fuzzy Particle Swarm Optimization-Based Active Disturbance Rejection Control". Applied Sciences 11, nr 24 (7.12.2021): 11583. http://dx.doi.org/10.3390/app112411583.
Pełny tekst źródłaMohammed, Mohammed, Abduladhem Ali i Mofeed Rashid. "Fuzzy Petri Net Controller for Quadrotor System using Particle Swam Optimization". Iraqi Journal for Electrical and Electronic Engineering 11, nr 1 (1.06.2015): 132–44. http://dx.doi.org/10.37917/ijeee.11.1.14.
Pełny tekst źródłaHonig, Wolfgang, James A. Preiss, T. K. Satish Kumar, Gaurav S. Sukhatme i Nora Ayanian. "Trajectory Planning for Quadrotor Swarms". IEEE Transactions on Robotics 34, nr 4 (sierpień 2018): 856–69. http://dx.doi.org/10.1109/tro.2018.2853613.
Pełny tekst źródłaSelma, Boumediene, Samira Chouraqui i Hassane Abouaïssa. "Fuzzy swarm trajectory tracking control of unmanned aerial vehicle". Journal of Computational Design and Engineering 7, nr 4 (9.04.2020): 435–47. http://dx.doi.org/10.1093/jcde/qwaa036.
Pełny tekst źródłaEl Gmili, Mjahed, El Kari i Ayad. "Particle Swarm Optimization and Cuckoo Search-Based Approaches for Quadrotor Control and Trajectory Tracking". Applied Sciences 9, nr 8 (25.04.2019): 1719. http://dx.doi.org/10.3390/app9081719.
Pełny tekst źródłaXu, Linxing, i Yang Li. "Distributed Robust Formation Tracking Control for Quadrotor UAVs with Unknown Parameters and Uncertain Disturbances". Aerospace 10, nr 10 (28.09.2023): 845. http://dx.doi.org/10.3390/aerospace10100845.
Pełny tekst źródłaShen, Suiyuan, i Jinfa Xu. "Attitude Active Disturbance Rejection Control of the Quadrotor and Its Parameter Tuning". International Journal of Aerospace Engineering 2020 (16.11.2020): 1–15. http://dx.doi.org/10.1155/2020/8876177.
Pełny tekst źródłaCan, Muharrem Selim, i Hamdi Ercan. "Real-time tuning of PID controller based on optimization algorithms for a quadrotor". Aircraft Engineering and Aerospace Technology 94, nr 3 (17.11.2021): 418–30. http://dx.doi.org/10.1108/aeat-06-2021-0173.
Pełny tekst źródłaBasri, Mohd Ariffanan Mohd. "Design and application of an adaptive backstepping sliding mode controller for a six-DOF quadrotor aerial robot". Robotica 36, nr 11 (3.08.2018): 1701–27. http://dx.doi.org/10.1017/s0263574718000668.
Pełny tekst źródłaWang, Yingxun, Yan Ma, Zhihao Cai i Jiang Zhao. "Quadrotor trajectory tracking and obstacle avoidance by chaotic grey wolf optimization- based backstepping control with sliding mode extended state observer". Transactions of the Institute of Measurement and Control 42, nr 9 (7.01.2020): 1675–89. http://dx.doi.org/10.1177/0142331219894401.
Pełny tekst źródłaOliveira, Josenalde, Paulo Moura Oliveira, José Boaventura-Cunha i Tatiana Pinho. "Evaluation of Hunting-Based Optimizers for a Quadrotor Sliding Mode Flight Controller". Robotics 9, nr 2 (7.04.2020): 22. http://dx.doi.org/10.3390/robotics9020022.
Pełny tekst źródłaBandala, Argel A., i Elmer P. Dadios. "Dynamic Aggregation Method for Target Enclosure Using Smoothed Particle Hydrodynamics Technique – An Implementation in Quadrotor Unmanned Aerial Vehicles (QUAV) Swarm –". Journal of Advanced Computational Intelligence and Intelligent Informatics 20, nr 1 (19.01.2016): 84–91. http://dx.doi.org/10.20965/jaciii.2016.p0084.
Pełny tekst źródłaAyachi Chater, El, Halima Housny i Hassan El Fadil. "Adaptive proportional integral derivative deep feedforward network for quadrotor trajectory-tracking flight control". International Journal of Electrical and Computer Engineering (IJECE) 12, nr 4 (1.08.2022): 3607. http://dx.doi.org/10.11591/ijece.v12i4.pp3607-3619.
Pełny tekst źródłaQin, Zhenhao. "PID Control Algorithm Based on Particle Swarm Optimization for Quadrotor UAV with Tip Defect". Academic Journal of Science and Technology 7, nr 2 (27.09.2023): 101–5. http://dx.doi.org/10.54097/ajst.v7i2.11951.
Pełny tekst źródłaAbdul-Samed, Baqir, i Ammar Aldair. "Design Tunable Robust Controllers for Unmanned Aerial Vehicle Based on Particle Swarm Optimization Algorithm". Iraqi Journal for Electrical and Electronic Engineering 15, nr 2 (1.12.2019): 89–100. http://dx.doi.org/10.37917/ijeee.15.2.10.
Pełny tekst źródłaAbdelghany, Muhammad Bakr, Ahmed M. Moustafa i Mohammed Moness. "Benchmarking Tracking Autopilots for Quadrotor Aerial Robotic System Using Heuristic Nonlinear Controllers". Drones 6, nr 12 (26.11.2022): 379. http://dx.doi.org/10.3390/drones6120379.
Pełny tekst źródłaHong, Youkyung, Suseong Kim i Jihun Cha. "Integrated Global and Local Path Planning for Quadrotor Using Particle Swarm Optimization". IFAC-PapersOnLine 53, nr 2 (2020): 15621–25. http://dx.doi.org/10.1016/j.ifacol.2020.12.2497.
Pełny tekst źródłaBouallègue, Soufiene, i Rabii Fessi. "LQG controller design for a quadrotor UAV based on particle swarm optimisation". International Journal of Automation and Control 13, nr 5 (2019): 569. http://dx.doi.org/10.1504/ijaac.2019.10021363.
Pełny tekst źródłaFessi, Rabii, i Soufiene Bouallègue. "LQG controller design for a quadrotor UAV based on particle swarm optimisation". International Journal of Automation and Control 13, nr 5 (2019): 569. http://dx.doi.org/10.1504/ijaac.2019.101910.
Pełny tekst źródłaKhodja, Mohammed Abdallah, Mohamed Tadjine, Mohamed Seghir Boucherit i Moussa Benzaoui. "Tuning PID attitude stabilization of a quadrotor using particle swarm optimization (experimental)". International Journal for Simulation and Multidisciplinary Design Optimization 8 (2017): A8. http://dx.doi.org/10.1051/smdo/2017001.
Pełny tekst źródłaJu, Chanyoung, i Hyoung Il Son. "A distributed swarm control for an agricultural multiple unmanned aerial vehicle system". Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering 233, nr 10 (21.02.2019): 1298–308. http://dx.doi.org/10.1177/0959651819828460.
Pełny tekst źródłaArul, Senthil Hariharan, i Dinesh Manocha. "SwarmCCO: Probabilistic Reactive Collision Avoidance for Quadrotor Swarms Under Uncertainty". IEEE Robotics and Automation Letters 6, nr 2 (kwiecień 2021): 2437–44. http://dx.doi.org/10.1109/lra.2021.3061975.
Pełny tekst źródłaEstevez, Julian, Jose M. Lopez-Guede i Manuel Graña. "Particle Swarm Optimization Quadrotor Control for Cooperative Aerial Transportation of Deformable Linear Objects". Cybernetics and Systems 47, nr 1-2 (2.01.2016): 4–16. http://dx.doi.org/10.1080/01969722.2016.1128759.
Pełny tekst źródłaWang, Jia-Jun, i Guang-Yu Liu. "Saturated control design of a quadrotor with heterogeneous comprehensive learning particle swarm optimization". Swarm and Evolutionary Computation 46 (maj 2019): 84–96. http://dx.doi.org/10.1016/j.swevo.2019.02.008.
Pełny tekst źródłaRendón, Manuel A., i Felipe F. Martins. "Path Following Control Tuning for an Autonomous Unmanned Quadrotor Using Particle Swarm Optimization". IFAC-PapersOnLine 50, nr 1 (lipiec 2017): 325–30. http://dx.doi.org/10.1016/j.ifacol.2017.08.054.
Pełny tekst źródła侯, 磊磊. "PID Parameter Tuning of Quadrotor Attitude Control Based on Mended Tunicate Swarm Algorithm". Journal of Sensor Technology and Application 12, nr 02 (2024): 175–86. http://dx.doi.org/10.12677/jsta.2024.122020.
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