TY - GEN
T1 - Prediction task assignment of multi-UAV approach based on consensus
AU - Chen, Chen
AU - Qin, Zheng
AU - Xing, Jian Kuan
PY - 2010
Y1 - 2010
N2 - In the battlefield, UAV (Unmanned Aerial Vehicle) needs to assign tasks dynamically by using the radar tracking information, but when the poor weather comes, or UAV enters blind area, the radar cannot gather the accurate information which severely impair the assignment result. A new task assignment prediction method was proposed in this paper. We first predict the UAV information using UKF (Unscented Kalman Filter) algorithm, and then clear up the collision by auction algorithm. Finally, we assign the tasks. The results show that the algorithm performs better than greedy task assignment and consensus based auction algorithm.
AB - In the battlefield, UAV (Unmanned Aerial Vehicle) needs to assign tasks dynamically by using the radar tracking information, but when the poor weather comes, or UAV enters blind area, the radar cannot gather the accurate information which severely impair the assignment result. A new task assignment prediction method was proposed in this paper. We first predict the UAV information using UKF (Unscented Kalman Filter) algorithm, and then clear up the collision by auction algorithm. Finally, we assign the tasks. The results show that the algorithm performs better than greedy task assignment and consensus based auction algorithm.
KW - Distribution System
KW - Multi-task Assignment
KW - Prediction
KW - Tracking
KW - UAV
UR - https://www.scopus.com/pages/publications/78149247588
U2 - 10.1007/978-3-642-16397-5_17
DO - 10.1007/978-3-642-16397-5_17
M3 - Conference contribution
AN - SCOPUS:78149247588
SN - 3642163963
SN - 9783642163968
T3 - Communications in Computer and Information Science
SP - 192
EP - 199
BT - E-business Technology and Strategy - International Conference, CETS 2010, Proceedings
T2 - International Conference on E-Business Technology and Strategy, CETS 2010
Y2 - 29 September 2010 through 30 September 2010
ER -