@inproceedings{6838b36e8cb54fd0a613417b816518c1,
title = "Neuro-adaptive and robust automatic train control subject to unknown dynamics",
abstract = "Advanced control method plays a key role in guaranteeing safe and reliable automatic train operation. This paper presents a neuro-adaptive robust control method for automatic train operation subject to unknown systematic time-varying dynamics. A general model for describing the train system dynamics is established. A control scheme using assumed bounded values of the unknown time-varying dynamics is proposed for achieving automatic train tracking control, based on which a more advance control scheme without requiring the bounded values is proposed. The closed-loop system is proved to be stable in the sense of Lyapunov. The effectiveness of the theoretical results is demonstrated by numerical simulations. {\textcopyright} 2013 TCCT, CAA.",
keywords = "Automatic train operation, Robust control, Tracking control, Train dynamics",
author = "Shigen Gao and Hairong Dong and Yao Chen and Bin Ning and Guanrong Chen and Qingwen Liang",
year = "2013",
month = oct,
day = "18",
language = "English",
isbn = "9789881563835",
publisher = "IEEE Computer Society",
pages = "8130--8134",
booktitle = "Chinese Control Conference, CCC",
address = "United States",
note = "32nd Chinese Control Conference (CCC 2013) ; Conference date: 26-07-2013 Through 28-07-2013",
}