@inproceedings{ec664e98fe714810b1bc11c8c937cce4,
title = "Trajectory Optimization of Two Cooperative Aircrafts Based on RHC",
abstract = "Trajectory optimization problem of two cooperative aircrafts in cooperative tactical engagement maneuvering is studied. The optimization problem of air combat for two aircrafts is established based on the analysis of vertical tactical engagement and three different performance measures and terminal constraints are proposed. The receding horizon control (RHC) model and the numerical solution based on simpson-direct-collocation is put forward. In order to improve the online performance, a BP neural network based approximation of the performance measures is proposed. Finally, a simulation shows that this method is feasible for trajectory optimization in cooperative air combat.",
keywords = "air combat decision, nonlinear programming (NLP), receding horizon control, trajectory optimization",
author = "An Xu and Zhou, {De Yun} and You Li and Gao, {Chun Qing}",
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.2019.8833134",
language = "英语",
series = "Proceedings of the 31st Chinese Control and Decision Conference, CCDC 2019",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "576--580",
booktitle = "Proceedings of the 31st Chinese Control and Decision Conference, CCDC 2019",
}