@inproceedings{b149fcbda5b5493e96442dfdbf9fc652,
title = "Robust Optimization in Formation Reconfiguration Problem for Multi-UAV",
abstract = "Formation reconfiguration problem for multi-UAV plays a crucial role in the implementation of complex tasks for multiple unmanned aerial vehicles, which attracted more and more attention in the past decade. However, the previous researches rarely consider the effect of wind, which will limit the formation quality and result in the position deviation for UAVs. In this paper, the continuous inputs of each flight in formation reconfiguration process are dispersed by using Control Parameterization and Time Discretization (CPTD) method, based on that the robust optimization model taking into account wind is established. It can be concluded from the experiment, the optimization result calculated from the robust optimization model for formation reconfiguration problem will lead to less position deviation and higher formation quality under the circumstance of wind.",
keywords = "CPTD, Formation reconfiguration, multi-UAV, robust optimization.",
author = "Huaxian, \{L. I.U.\} and Feng, \{L. I.U.\} and Zhang Xuejun and Guan Xiangmin and Meng, \{X. U.\}",
note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 31st Chinese Control and Decision Conference, CCDC 2019 ; Conference date: 03-06-2019 Through 05-06-2019",
year = "2019",
month = jun,
doi = "10.1109/CCDC.2019.8833433",
language = "英语",
series = "Proceedings of the 31st Chinese Control and Decision Conference, CCDC 2019",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "581--585",
booktitle = "Proceedings of the 31st Chinese Control and Decision Conference, CCDC 2019",
address = "美国",
}