A Novel Controller Based on Fuzzy Sliding Mode Control for Train Speed Tracking-Reference-Cited by-同舟云学术

A Novel Controller Based on Fuzzy Sliding Mode Control for Train Speed Tracking

Published:2024-06 Issue:6 Volume:73 Page:7653-7668
ISSN:0018-9545
Container-title:IEEE Transactions on Vehicular Technology
language:
Short-container-title:IEEE Trans. Veh. Technol.

Author:

Kang Zhuang¹^ORCID,Jia Li-Min¹^ORCID,Zuo Xiao-Long²^ORCID,Shen Peng-Ju²^ORCID,Qin Yong¹^ORCID,Chai Yuan-Yuan³^ORCID

Affiliation:

1. State Key Laboratory of Railway Traffic Control and Safety and the Key Laboratory of Railway Industry of Proactive Safety and Risk Control, Beijing Jiaotong University, Beijing, China

2. School of Traffic and Transportation, Beijing Jiaotong University, Beijing, China

3. JIT Research Institute, Jilin University Zhengyuan Information Technologies Company, Ltd., Beijing, China

Funder

Fundamental Research Funds for the Central Universities

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/25/10564808/10400969.pdf?arnumber=10400969

Reference31 articles.

1. High-speed trains automatic operation with protection constraints: a resilient nonlinear gain-based feedback control approach

2. Accurate Parking Control for Urban Rail Trains via Robust Adaptive Backstepping Approach

3. Research on Multi-Objective Optimization and Control Algorithms for Automatic Train Operation

4. Bio-Inspired Speed Curve Optimization and Sliding Mode Tracking Control for Subway Trains

5. Deep Deterministic Policy Gradient for High-Speed Train Trajectory Optimization

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