@inproceedings{127a289bb64e41ee964c02669f7f7ca5,
title = "Lyapunov-based output feedback control of hypersonic vehicle",
abstract = "In this paper, an output feedback controller is designed for the longitudinal dynamics of a hypersonic vehicle, under the restriction that only partial information can be measured. The high gain observer (HGO) is utilized to estimate the signals for immeasurable derivatives of the vehicle's velocity and altitude, and a radial basis neural network (RBNN) based feedforward function is designed to compensate for the model uncertainties. A Lyapunov-based comprehensive stability analysis of the closed-loop system is presented, and the proposed control law is proved to be yielding semi-global uniformly ultimately bounded, while keeping all the closed-loop signals bounded. Numerical simulation results are also presented to validate the control design.",
keywords = "High gain observer, Hypersonic vehicle, Output feedback control, Radial basis neural network",
author = "Haijing Xu and Yingmin Jia",
note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 3rd IEEE International Conference on Cloud Computing and Intelligence Systems, CCIS 2014 ; Conference date: 27-11-2014 Through 29-11-2014",
year = "2014",
doi = "10.1109/CCIS.2014.7175738",
language = "英语",
series = "CCIS 2014 - Proceedings of 2014 IEEE 3rd International Conference on Cloud Computing and Intelligence Systems",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "253--258",
editor = "Huadong Ma and Weining Wang and Yong Zhang",
booktitle = "CCIS 2014 - Proceedings of 2014 IEEE 3rd International Conference on Cloud Computing and Intelligence Systems",
address = "美国",
}