Artigos de revistas sobre o tema "Quadrotors swarm"
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Nakano, Reiichiro Christian S., Ryan Rhay P. Vicerra, Laurence A. Gan Lim, Edwin Sybingco, Elmer P. Dadios e 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, n.º 2 (15 de março de 2017): 189–96. http://dx.doi.org/10.20965/jaciii.2017.p0189.
Texto completo da fonteXie, Yichen, Yuzhu Li e Wei Dong. "Behavior Prediction Based Trust Evaluation for Adaptive Consensus of Quadrotors". Drones 6, n.º 12 (22 de novembro de 2022): 371. http://dx.doi.org/10.3390/drones6120371.
Texto completo da fonteJoelianto, Endra, Daniel Christian e 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, n.º 1 (30 de julho de 2020): 1. http://dx.doi.org/10.14203/j.mev.2020.v11.1-10.
Texto completo da fonteKhodayari, Houri, Farshad Pazooki e 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, n.º 11 (26 de novembro de 2018): 3938–51. http://dx.doi.org/10.1177/0954410018812615.
Texto completo da fonteApriaskar, Esa. "PURWARUPA SISTEM PENDETEKSI JARAK ANTAR QUADROTOR DENGAN SENSOR GPS". INOVTEK POLBENG 8, n.º 2 (31 de dezembro de 2018): 250. http://dx.doi.org/10.35314/ip.v8i2.768.
Texto completo da fonteFaelden, Gerard Ely U., Ryan Rhay P. Vicerra, Laurence A. Gan Lim, Edwin Sybingco, Elmer P. Dadios e 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, n.º 2 (15 de março de 2017): 197–204. http://dx.doi.org/10.20965/jaciii.2017.p0197.
Texto completo da fonteCardona, Gustavo A., Juan Ramirez-Rugeles, Eduardo Mojica-Nava e 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, n.º 3 (1 de junho de 2021): 2079. http://dx.doi.org/10.11591/ijece.v11i3.pp2079-2089.
Texto completo da fonteCarbone, Carlos, Oscar Garibaldi e Zohre Kurt. "Swarm Robotics as a Solution to Crops Inspection for Precision Agriculture". KnE Engineering 3, n.º 1 (11 de fevereiro de 2018): 552. http://dx.doi.org/10.18502/keg.v3i1.1459.
Texto completo da fonteHovell, Kirk, Steve Ulrich e Murat Bronz. "Learned Multiagent Real-Time Guidance with Applications to Quadrotor Runway Inspection". Field Robotics 2, n.º 1 (10 de março de 2022): 1105–33. http://dx.doi.org/10.55417/fr.2022036.
Texto completo da fonteKushleyev, Alex, Daniel Mellinger, Caitlin Powers e Vijay Kumar. "Towards a swarm of agile micro quadrotors". Autonomous Robots 35, n.º 4 (10 de julho de 2013): 287–300. http://dx.doi.org/10.1007/s10514-013-9349-9.
Texto completo da fonteBandala, Argel A., Elmer P. Dadios, Ryan Rhay P. Vicerra e 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, n.º 5 (20 de setembro de 2014): 745–51. http://dx.doi.org/10.20965/jaciii.2014.p0745.
Texto completo da fonteWeinstein, Aaron, Adam Cho, Giuseppe Loianno e Vijay Kumar. "Visual Inertial Odometry Swarm: An Autonomous Swarm of Vision-Based Quadrotors". IEEE Robotics and Automation Letters 3, n.º 3 (julho de 2018): 1801–7. http://dx.doi.org/10.1109/lra.2018.2800119.
Texto completo da fonteJoelianto, Endra, Winarendra Satya Rajasa e Agus Samsi. "Sistem Kontrol Swarm untuk Flocking Wahana NR-Awak Quadrotor dengan Optimasi Algoritma Genetik". Jurnal Teknologi Informasi dan Ilmu Komputer 8, n.º 6 (24 de novembro de 2021): 1089. http://dx.doi.org/10.25126/jtiik.2021863467.
Texto completo da fonteLeonard, J., A. Savvaris e 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, n.º 6 (18 de maio de 2016): 1035–55. http://dx.doi.org/10.1177/0954410016647074.
Texto completo da fonteYañez-Badillo, Hugo, Francisco Beltran-Carbajal, Ruben Tapia-Olvera, Antonio Favela-Contreras, Carlos Sotelo e David Sotelo. "Adaptive Robust Motion Control of Quadrotor Systems Using Artificial Neural Networks and Particle Swarm Optimization". Mathematics 9, n.º 19 (24 de setembro de 2021): 2367. http://dx.doi.org/10.3390/math9192367.
Texto completo da fonteTrizuljak, Adam, Frantiek Duchoň, Jozef Rodina, Andrej Babinec, Martin Dekan e Roman Mykhailyshyn. "Control of a small quadrotor for swarm operation". Journal of Electrical Engineering 70, n.º 1 (1 de fevereiro de 2019): 3–15. http://dx.doi.org/10.2478/jee-2019-0001.
Texto completo da fonteMcGuire, K. N., C. De Wagter, K. Tuyls, H. J. Kappen e G. C. H. E. de Croon. "Minimal navigation solution for a swarm of tiny flying robots to explore an unknown environment". Science Robotics 4, n.º 35 (23 de outubro de 2019): eaaw9710. http://dx.doi.org/10.1126/scirobotics.aaw9710.
Texto completo da fonteSrisamosorn, Veerachart, Noriaki Kuwahara, Atsushi Yamashita, Taiki Ogata e Jun Ota. "Human-tracking system using quadrotors and multiple environmental cameras for face-tracking application". International Journal of Advanced Robotic Systems 14, n.º 5 (1 de setembro de 2017): 172988141772735. http://dx.doi.org/10.1177/1729881417727357.
Texto completo da fonteTsykunov, Evgeny, Ruslan Agishev, Roman Ibrahimov, Luiza Labazanova, Akerke Tleugazy e Dzmitry Tsetserukou. "SwarmTouch: Guiding a Swarm of Micro-Quadrotors With Impedance Control Using a Wearable Tactile Interface". IEEE Transactions on Haptics 12, n.º 3 (1 de julho de 2019): 363–74. http://dx.doi.org/10.1109/toh.2019.2927338.
Texto completo da fonteElmokadem, Taha, e Andrey V. Savkin. "Computationally-Efficient Distributed Algorithms of Navigation of Teams of Autonomous UAVs for 3D Coverage and Flocking". Drones 5, n.º 4 (25 de outubro de 2021): 124. http://dx.doi.org/10.3390/drones5040124.
Texto completo da fonteZhang, Yahui, Peng Yi e Yiguang Hong. "Cooperative Safe Trajectory Planning for Quadrotor Swarms". Sensors 24, n.º 2 (22 de janeiro de 2024): 707. http://dx.doi.org/10.3390/s24020707.
Texto completo da fonteEl gmili, Nada, Mostafa Mjahed, Abdeljalil El kari e Hassan Ayad. "Quadrotor Identification through the Cooperative Particle Swarm Optimization-Cuckoo Search Approach". Computational Intelligence and Neuroscience 2019 (24 de julho de 2019): 1–10. http://dx.doi.org/10.1155/2019/8925165.
Texto completo da fonteManingo, Jose Martin Z., Ryan Rhay P. Vicerra, Laurence A. Gan Lim, Edwin Sybingco, Elmer P. Dadios e Argel A. Bandala. "Smoothed Particle Hydrodynamics Approach to Aggregation of Quadrotor Unmanned Aerial Vehicle Swarm". Journal of Advanced Computational Intelligence and Intelligent Informatics 21, n.º 2 (15 de março de 2017): 181–88. http://dx.doi.org/10.20965/jaciii.2017.p0181.
Texto completo da fonteZhou, De Xin, Xin Chao Ma e Teng Da Ma. "Path Planning of Quadrotor Based on Quantum Particle Swarm Optimization Algorithm". Advanced Materials Research 760-762 (setembro de 2013): 2018–22. http://dx.doi.org/10.4028/www.scientific.net/amr.760-762.2018.
Texto completo da fonteZhang, Qi, Yaoxing Wei e Xiao Li. "Quadrotor Attitude Control by Fractional-Order Fuzzy Particle Swarm Optimization-Based Active Disturbance Rejection Control". Applied Sciences 11, n.º 24 (7 de dezembro de 2021): 11583. http://dx.doi.org/10.3390/app112411583.
Texto completo da fonteMohammed, Mohammed, Abduladhem Ali e Mofeed Rashid. "Fuzzy Petri Net Controller for Quadrotor System using Particle Swam Optimization". Iraqi Journal for Electrical and Electronic Engineering 11, n.º 1 (1 de junho de 2015): 132–44. http://dx.doi.org/10.37917/ijeee.11.1.14.
Texto completo da fonteHonig, Wolfgang, James A. Preiss, T. K. Satish Kumar, Gaurav S. Sukhatme e Nora Ayanian. "Trajectory Planning for Quadrotor Swarms". IEEE Transactions on Robotics 34, n.º 4 (agosto de 2018): 856–69. http://dx.doi.org/10.1109/tro.2018.2853613.
Texto completo da fonteSelma, Boumediene, Samira Chouraqui e Hassane Abouaïssa. "Fuzzy swarm trajectory tracking control of unmanned aerial vehicle". Journal of Computational Design and Engineering 7, n.º 4 (9 de abril de 2020): 435–47. http://dx.doi.org/10.1093/jcde/qwaa036.
Texto completo da fonteEl Gmili, Mjahed, El Kari e Ayad. "Particle Swarm Optimization and Cuckoo Search-Based Approaches for Quadrotor Control and Trajectory Tracking". Applied Sciences 9, n.º 8 (25 de abril de 2019): 1719. http://dx.doi.org/10.3390/app9081719.
Texto completo da fonteXu, Linxing, e Yang Li. "Distributed Robust Formation Tracking Control for Quadrotor UAVs with Unknown Parameters and Uncertain Disturbances". Aerospace 10, n.º 10 (28 de setembro de 2023): 845. http://dx.doi.org/10.3390/aerospace10100845.
Texto completo da fonteShen, Suiyuan, e Jinfa Xu. "Attitude Active Disturbance Rejection Control of the Quadrotor and Its Parameter Tuning". International Journal of Aerospace Engineering 2020 (16 de novembro de 2020): 1–15. http://dx.doi.org/10.1155/2020/8876177.
Texto completo da fonteCan, Muharrem Selim, e Hamdi Ercan. "Real-time tuning of PID controller based on optimization algorithms for a quadrotor". Aircraft Engineering and Aerospace Technology 94, n.º 3 (17 de novembro de 2021): 418–30. http://dx.doi.org/10.1108/aeat-06-2021-0173.
Texto completo da fonteBasri, Mohd Ariffanan Mohd. "Design and application of an adaptive backstepping sliding mode controller for a six-DOF quadrotor aerial robot". Robotica 36, n.º 11 (3 de agosto de 2018): 1701–27. http://dx.doi.org/10.1017/s0263574718000668.
Texto completo da fonteWang, Yingxun, Yan Ma, Zhihao Cai e 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, n.º 9 (7 de janeiro de 2020): 1675–89. http://dx.doi.org/10.1177/0142331219894401.
Texto completo da fonteOliveira, Josenalde, Paulo Moura Oliveira, José Boaventura-Cunha e Tatiana Pinho. "Evaluation of Hunting-Based Optimizers for a Quadrotor Sliding Mode Flight Controller". Robotics 9, n.º 2 (7 de abril de 2020): 22. http://dx.doi.org/10.3390/robotics9020022.
Texto completo da fonteBandala, Argel A., e 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, n.º 1 (19 de janeiro de 2016): 84–91. http://dx.doi.org/10.20965/jaciii.2016.p0084.
Texto completo da fonteAyachi Chater, El, Halima Housny e 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, n.º 4 (1 de agosto de 2022): 3607. http://dx.doi.org/10.11591/ijece.v12i4.pp3607-3619.
Texto completo da fonteQin, Zhenhao. "PID Control Algorithm Based on Particle Swarm Optimization for Quadrotor UAV with Tip Defect". Academic Journal of Science and Technology 7, n.º 2 (27 de setembro de 2023): 101–5. http://dx.doi.org/10.54097/ajst.v7i2.11951.
Texto completo da fonteAbdul-Samed, Baqir, e Ammar Aldair. "Design Tunable Robust Controllers for Unmanned Aerial Vehicle Based on Particle Swarm Optimization Algorithm". Iraqi Journal for Electrical and Electronic Engineering 15, n.º 2 (1 de dezembro de 2019): 89–100. http://dx.doi.org/10.37917/ijeee.15.2.10.
Texto completo da fonteAbdelghany, Muhammad Bakr, Ahmed M. Moustafa e Mohammed Moness. "Benchmarking Tracking Autopilots for Quadrotor Aerial Robotic System Using Heuristic Nonlinear Controllers". Drones 6, n.º 12 (26 de novembro de 2022): 379. http://dx.doi.org/10.3390/drones6120379.
Texto completo da fonteHong, Youkyung, Suseong Kim e Jihun Cha. "Integrated Global and Local Path Planning for Quadrotor Using Particle Swarm Optimization". IFAC-PapersOnLine 53, n.º 2 (2020): 15621–25. http://dx.doi.org/10.1016/j.ifacol.2020.12.2497.
Texto completo da fonteBouallègue, Soufiene, e Rabii Fessi. "LQG controller design for a quadrotor UAV based on particle swarm optimisation". International Journal of Automation and Control 13, n.º 5 (2019): 569. http://dx.doi.org/10.1504/ijaac.2019.10021363.
Texto completo da fonteFessi, Rabii, e Soufiene Bouallègue. "LQG controller design for a quadrotor UAV based on particle swarm optimisation". International Journal of Automation and Control 13, n.º 5 (2019): 569. http://dx.doi.org/10.1504/ijaac.2019.101910.
Texto completo da fonteKhodja, Mohammed Abdallah, Mohamed Tadjine, Mohamed Seghir Boucherit e 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.
Texto completo da fonteJu, Chanyoung, e 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, n.º 10 (21 de fevereiro de 2019): 1298–308. http://dx.doi.org/10.1177/0959651819828460.
Texto completo da fonteArul, Senthil Hariharan, e Dinesh Manocha. "SwarmCCO: Probabilistic Reactive Collision Avoidance for Quadrotor Swarms Under Uncertainty". IEEE Robotics and Automation Letters 6, n.º 2 (abril de 2021): 2437–44. http://dx.doi.org/10.1109/lra.2021.3061975.
Texto completo da fonteEstevez, Julian, Jose M. Lopez-Guede e Manuel Graña. "Particle Swarm Optimization Quadrotor Control for Cooperative Aerial Transportation of Deformable Linear Objects". Cybernetics and Systems 47, n.º 1-2 (2 de janeiro de 2016): 4–16. http://dx.doi.org/10.1080/01969722.2016.1128759.
Texto completo da fonteWang, Jia-Jun, e Guang-Yu Liu. "Saturated control design of a quadrotor with heterogeneous comprehensive learning particle swarm optimization". Swarm and Evolutionary Computation 46 (maio de 2019): 84–96. http://dx.doi.org/10.1016/j.swevo.2019.02.008.
Texto completo da fonteRendón, Manuel A., e Felipe F. Martins. "Path Following Control Tuning for an Autonomous Unmanned Quadrotor Using Particle Swarm Optimization". IFAC-PapersOnLine 50, n.º 1 (julho de 2017): 325–30. http://dx.doi.org/10.1016/j.ifacol.2017.08.054.
Texto completo da fonte侯, 磊磊. "PID Parameter Tuning of Quadrotor Attitude Control Based on Mended Tunicate Swarm Algorithm". Journal of Sensor Technology and Application 12, n.º 02 (2024): 175–86. http://dx.doi.org/10.12677/jsta.2024.122020.
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