@inproceedings{126cf30486db45f7b4d38a8747a502b6,
title = "Robust adaptive neural fault-tolerant control of hypersonic flight vehicle",
abstract = "This paper proposes a fault-tolerant back-stepping control method for the hypersonic flight vehicle. An adaptive law is proposed to make sure that the normal actuators could compensate the ineffective actuators while failure exists. Meanwhile, the RBF NN is employed to estimate the unknown nonlinearity of the model. The simulation results verify the effectiveness of the proposed approach.",
keywords = "Fault-tolerant control, Hypersonic flight vehicle, Neural networks",
author = "Yuyan Guo and Qiang Wang and Bin Xu",
note = "Publisher Copyright: {\textcopyright} Springer Nature Singapore Pte Ltd. 2017.; 3rd International Conference on Cognitive Systems and Information Processing, ICCSIP 2016 ; Conference date: 19-11-2016 Through 23-11-2016",
year = "2017",
doi = "10.1007/978-981-10-5230-9_5",
language = "英语",
isbn = "9789811052293",
series = "Communications in Computer and Information Science",
publisher = "Springer Verlag",
pages = "44--51",
editor = "Fuchun Sun and Huaping Liu and Dewen Hu",
booktitle = "Cognitive Systems and Signal Processing - 3rd International Conference, ICCSIP 2016, Revised Selected Papers",
}