supported by the National Natural Science Foundation of China(Nos.62103283 and 12371308)。
This study investigates how the events of deception attacks are distributed during the fusion of multi-sensor nonlinear systems.First,a deception attack with limited energy(DALE)is introduced under the framework of di...
Project supported by the National Natural Science Foundation of China(No.61873033);the Science Foundation of Fujian Normal University(No.Z0210553);the Natural Science Foundation of Fujian Province,China(No.2020H0012)。
Target tracking is one of the hottest topics in the field of drone research.In this paper,we study the multiple unmanned aerial vehicles(multi-UAV)collaborative target tracking problem.We propose a novel tracking meth...
We present a real-time monocular simultaneous localization and mapping(SLAM)system with a new distributed structure for multi-UAV collaboration tasks.The system is different from other general SLAM systems in two aspe...
Projectsupported by the National Natural Science Foundation of China(Nos.61673397 and 61976225);the Fundamental Research Funds for the Central Universities of Central South University,China(No.2020zztsl29)。
We study a mobile edge computing system assisted by multiple unmanned aerial vehicles(UAVs),where the UAVs act as edge servers to provide computing services for Internet of Things devices.Our goal is to minimize the e...
Project supported by the National Natural Science Foundation of China(Nos.61773031,61573042,61803009 and 61903084);the Jiangsu Province Science Foundation for Youths,China(No.BK20180358)。
We investigate cooperative target tracking of multiple unmanned aerial vehicles(UAVs)with a limited communication range.This is an integration of UAV motion control,target state estimation,and network topology control...
supported by the National Natural Science Foundation of China(No.61473229);the Special Fund for Basic Scientific Research of Central Colleges,Chang’an University,China(Nos.310832163403 and 310832161012);the Key Science and Technology Program of Shaanxi Province,China(No.2017JQ6060);the Xi’an Science and Technology Plan,China(No.CXY1512-3)
We propose a formation control strategy for multiple unmanned aerial vehicles (multi-UAV) based on second-order consensus, by introducing position and velocity coordination variables through neighbor-to-neighbor int...