Iterative learning control for high‐speed trains with velocity and displacement constraints-Reference-Cited by-同舟云学术

Iterative learning control for high‐speed trains with velocity and displacement constraints

Published:2022-01-06 Issue:6 Volume:32 Page:3647-3661
ISSN:1049-8923
Container-title:International Journal of Robust and Nonlinear Control
language:en
Short-container-title:Intl J Robust & Nonlinear

Author:

Huang Deqing¹²^ORCID,Huang Tengfei¹,Chen Chunrong¹,Qin Na¹^ORCID,Jin Xu³^ORCID,Wang Qingyuan²⁴,Chen Yong⁵

Affiliation:

1. Institute of Systems Science and Technology Southwest Jiaotong University Chengdu China

2. Key Laboratory of Railway Industry of Advanced Energy Traction and Comprehensive Energy Conservation Southwest Jiaotong University Chengdu China

3. Department of Mechanical Engineering University of Kentucky Lexington Kentucky USA

4. School of Electrical Engineering Southwest Jiaotong University Chengdu China

5. College of Control Science and Engineering Zhejiang University Hangzhou China

Funder

China Postdoctoral Science Foundation

National Natural Science Foundation of China

Publisher

Wiley

Subject

Electrical and Electronic Engineering,Industrial and Manufacturing Engineering,Mechanical Engineering,Aerospace Engineering,Biomedical Engineering,General Chemical Engineering,Control and Systems Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/rnc.5984

Reference34 articles.

1. Adaptive Iterative Learning Control for High-Speed Trains With Unknown Speed Delays and Input Saturations

2. Energy-efficient train control: The two-train separation problem on level track

3. Differential evolution based tuning of fuzzy automatic train operation for mass rapid transit system

4. A fuzzy knowledge-based system for railway traffic control

5. Fault-Tolerant Adaptive Control of High-Speed Trains Under Traction/Braking Failures: A Virtual Parameter-Based Approach

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