Merging three‐dimensional occupancy grid maps to support multi‐UAVs cooperative navigation systems
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Field Robotics"
DOI: 10.1002/rob.22143
Abstract: Unmanned aerial vehicles (UAVs) have been widely used in many applications due to, among other features, their versatility, reduced operation cost, and reduced size. These applications increasingly require that features related to autonomous navigation be… read more here.
Keywords: system; merging three; three dimensional; cooperative navigation ... See more keywords
Decentralized fractional-order backstepping fault-tolerant control of multi-UAVs against actuator faults and wind effects
Sign Up to like & getrecommendations! Published in 2020 at "Aerospace Science and Technology"
DOI: 10.1016/j.ast.2020.105939
Abstract: Abstract Concurrent occurrences of actuator faults and wind effects can significantly threaten the flight safety of multiple unmanned aerial vehicles (multi-UAVs). To address this difficult control problem against actuator faults and wind effects, a composite… read more here.
Keywords: control; wind effects; multi uavs; faults wind ... See more keywords
A review on fault-tolerant cooperative control of multiple unmanned aerial vehicles
Sign Up to like & getrecommendations! Published in 2021 at "Chinese Journal of Aeronautics"
DOI: 10.1016/j.cja.2021.04.022
Abstract: Abstract This paper presents the recent developments in Fault-Tolerant Cooperative Control (FTCC) of multiple unmanned aerial vehicles (multi-UAVs). To facilitate the analyses of FTCC methods for multi-UAVs, the formation control strategies under fault-free flight conditions… read more here.
Keywords: multi uavs; fault tolerant; control; multiple unmanned ... See more keywords
Optimal input design for multi UAVs formation anomaly detection.
Sign Up to like & getrecommendations! Published in 2019 at "ISA transactions"
DOI: 10.1016/j.isatra.2019.01.027
Abstract: As the input signal must be informative enough, so that the resulting dataset is enough informative to excite the identification experiment for multi UAVs formation anomaly detection. Based on our previous work on multi UAVs… read more here.
Keywords: formation anomaly; anomaly detection; multi uavs; uavs formation ... See more keywords
Synthesis analysis for multi-UAVs formation anomaly detection
Sign Up to like & getrecommendations! Published in 2021 at "Aircraft Engineering and Aerospace Technology"
DOI: 10.1108/aeat-04-2020-0076
Abstract: The purpose of this paper is to deal with the anomaly detection problem in multi-unmanned aerial vehicles (UAVs) formation that can be transformed to identify some unknown parameters; a more general nonlinear dynamical model for… read more here.
Keywords: anomaly detection; multi uavs; detection; uavs formation ... See more keywords
Enhanced Relative Localization Based on Persistent Excitation for Multi-UAVs in GPS-Denied Environments
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3015593
Abstract: Intelligent unmanned aerial vehicles (UAVs) have been applied for civil and military uses. Relative localization (RL) is crucial for multi-UAVs to accomplish complex tasks successfully and safely. In global positioning system (GPS) denied environments, where… read more here.
Keywords: multi uavs; excitation; error; persistent excitation ... See more keywords
Distributed Location-Aware Task Offloading in Multi-UAVs Enabled Edge Computing
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3189682
Abstract: Edge computing is a new computing paradigm which distributes tasks to edge networks for processing, it provides effective support for various mobile applications to meet their rapid response requirement. Unmanned Aerial Vehicle (UAV) has been… read more here.
Keywords: distributed location; multi uavs; task; edge computing ... See more keywords
Machine Learning-Empowered Beam Management for mmWave-NOMA in Multi-UAVs Networks
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Vehicular Technology"
DOI: 10.1109/tvt.2022.3172443
Abstract: We consider a mission-driven multiple unmanned aerial vehicles (multi-UAVs) network with millimeter-wave (mmWave) transmissions, where a leader UAV (LUAV) communicates with a large number of follower UAVs (FUAVs) simultaneously via a uniform planar array with… read more here.
Keywords: beam management; machine learning; mmwave noma; multi uavs ... See more keywords