Data-Driven Distributed Learning Control for High-Speed Trains Considering Quantization Effects and Measurement Bias
Author:
Affiliation:
1. School of Electrical Engineering, Southwest Jiaotong University, Chengdu, China
2. School of Mathematics, Renmin University of China, Beijing, China
3. School of Intelligent Systems Engineering, Sun Yat-Sen University, Guangzhou, China
Funder
National Natural Science Foundation of China
Sichuan Science and Technology Program
Natural Science Foundation of Guangdong Province
Shenzhen Science and Technology Program
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx7/25/10606142/10452870.pdf?arnumber=10452870
Reference46 articles.
1. Dynamic Scheduling, Operation Control and Their Integration in High-Speed Railways: A Review of Recent Research
2. Optimization for the Following Operation of a High-Speed Train Under the Moving Block System
3. Coordinated cruise control for high-speed train movements based on a multi-agent model
4. Cooperative Control Synthesis and Stability Analysis of Multiple Trains Under Moving Signaling Systems
5. Cooperative Prescribed Performance Tracking Control for Multiple High-Speed Trains in Moving Block Signaling System
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1. UAV Selection for High-Speed Train Communication using OTFS Modulation;2024-09-13
2. OTFS-Based Proactive Dynamic UAV Positioning for High-Speed Train Coverage;IEEE Open Journal of the Communications Society;2024
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