A high speed railway control system based on the fuzzy control method

Author:

Liu W.Y.,Han J.G.,Lu X.N.

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Cited by 19 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Energy-saving operation in urban rail transit: A deep reinforcement learning approach with speed optimization;Travel Behaviour and Society;2024-07

2. Fuzzy FMECA approach for risk evaluation of high-speed train sliding-plug door;AIP Conference Proceedings;2024

3. ATO Target Speed Following Control Strategy Considering of Energy-Saving;2023 5th International Academic Exchange Conference on Science and Technology Innovation (IAECST);2023-12-08

4. An Adaptive Model-Free Control Method for Metro Train Based on Deep Reinforcement Learning;Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery;2023

5. Feasibility analysis of super-speed rail based on improved value function;Transportation Safety and Environment;2022-05-24

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