摘要： 提出了一种用于解决地铁运行控制问题的基于再励学习的模糊自适应控制方案，解决了多控制目标下列车控制问题，确保了列车准确运行。仿真取得了令人满意的结果。结果表明，这种将模糊控制和再励学习相结合的智能控制方法综合用于列车运行控制是可行的，可以较好地保证舒适性、停车准确性和正点性。

关键词: ATO, 模糊控制, 再励厉学习, 多目标控制

Abstract: The paper proposes adaptive fuzzy control method, for running of metro train which bases on reinforcing learning, it solves the question of how control train to reach multi-targets and ensure precise running of train. Simulation results indicate that the intelligent control method combining fuzzy control and reinforcements is available, and can preferably ensure travelers' comfort and stopping train accurately and punctually.

中图分类号: 

• TP273.4