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✓ Immediate verification • ✓ Free institutional access • ✓ Global collaborationAdvanced 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.
Shigen Gao, Hairong Dong, Yao Chen, Bin Ning, Guanrong Chen, Qingwen Liang (2013). Neuro-adaptive and robust automatic train control subject to unknown dynamics. , pp. 8130-8134
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Type
Article
Year
2013
Authors
6
Datasets
0
Total Files
0
Language
English
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