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Adaptive Control Design and Evaluation for Multibody High-Speed Train Dynamic Models

  • Published:2021-05 Issue:3 Volume:29 Page:1061-1074
  • ISSN:1063-6536
  • Container-title:IEEE Transactions on Control Systems Technology
  • language:
  • Short-container-title:IEEE Trans. Contr. Syst. Technol.

Author:

Mao Zehui,Tao Gang,Jiang Bin,Yan Xing-Gang

Funder

National Natural Science Foundation of China

Qinglan Project of Jiangsu Province of China

Fundamental Research Funds for the Central Universities

National Science Foundation of USA

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Control and Systems Engineering

Cited by 23 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. Decentralized Control on High-Speed Trains Based on State Observation;2024 IEEE 13th Data Driven Control and Learning Systems Conference (DDCLS);2024-05-17

2. Robust adaptive iterative learning control for high-speed trains under non-strictly repeated conditions;Control Engineering Practice;2024-04

3. Model Free Adaptive Trajectory Tracking for Multiple High-Speed Trains with I/O Saturations;2024 IEEE International Conference on Industrial Technology (ICIT);2024-03-25

4. End-edge-cloud collaborative learning-aided prediction for high-speed train operation using LSTM;Transportation Research Part C: Emerging Technologies;2024-03

5. Method for Fault Diagnosis of Track Circuits Based on a Time–Frequency Intelligent Network;Electronics;2024-02-23
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