In our project, we attempt to explore how to remedy this using a Dynamic Data-Driven Application System (DDDAS) to control a group, or swarm, of UAVs. DDDAS takes real data and injects it into a running simulation, as well as allowing the running simulation to influence what...
UAV swarm autonomous control based on Internet of Things and artificial intelligence algorithms At present, the UAV swarm positioning solution has the problems of poor positioning accuracy and instability. Therefore, it is necessary to design a slidin... X Wang,G Chen,HJJ Gong - 《Journal of Int...
China Conference on Command and Control 647Accesses Abstract Unmanned aerial vehicle (UAV) swarm is extensively used in several military applications, e.g., battlefield reconnaissance and attack. In this article, a heterogeneous UAV swarm consisting of the reconnaissance UAVs (RUAVs), unmanned combat...
Fixed-Wing UAV Formation Path Planning Based on Formation Control: Theory and Application Formation path planning is a significant cornerstone for unmanned aerial vehicle (UAV) swarm intelligence. Previous methods were not suitable for large-sca... C Liu,F Xie,T Ji - 《Aerospace》 被引量: 0发...
4. UAV Swarm Automation Control Intermachine Communication Design In the process of geese bionic flight of the UAV, the host needs to exchange information with each slave in the fleet, and the information transmitted through Zigbee must have a communication protocol with high transmission efficiency,...
26.Yinka-Banjo CO, Owolabi WA, Akala AO. Birds control in farmland using swarm of UAVs: A behavioural model approach. In: Science and Information Conference. Cham: Springer; 2018. pp. 333-345 27.Steinfeld H, Mäki-Hokkonen J. A classification of livestock production systems. World Animal...
A predator–prey particle swarm optimization (PSO) algorithm for identifying parameters of UAV flight control system is presented, with the aim of reducing the workload of the designers during the process of designing complicated UAV control system. Besides, a software environment for UAV controller ...
Apium Swarm Robotics, Inc. Apollo Drone Services LLC Apple APPROVE APRIL AVIATRIX Aragon Drone Works LLC. Arborpro, Inc Archangel Drones Arcline Arcsky Arete Aerial Imaging & Mapping LLC ArgenTech Solutions, Inc. Argus Shadow Ltd Ariel Agriculture Technologies Arizona Department of Public Safety Ari...
Multi-UAV(unmanned aerial vehicle)task assignment is a key issue in the field of unmanned combat command and control.To improve the efficiency and rational... H Tan,L Cao,H Peng,... 被引量: 3发表: 2014年 Research on multi-UAV hierarchical task allocation in large-scale scenarios The task...
The design is implemented in Boeing's Vehicle Swarm Technology Laboratory, and the utility of the adaptive controller is demonstrated through simulated actuator degradation events. I. Background Model Reference Adaptive Control (MRAC) is concerned with forcing the dynamic response of the c...