Robust point‐to‐point iterative learning control for high speed trains with model uncertainty and wind gust-Reference-Cited by-同舟云学术

Robust point‐to‐point iterative learning control for high speed trains with model uncertainty and wind gust

Published:2022-02 Issue:6 Volume:24 Page:3522-3537
ISSN:1561-8625
Container-title:Asian Journal of Control
language:en
Short-container-title:Asian Journal of Control

Author:

Li Zhenxuan¹^ORCID,Hou Zhongsheng²,Zhang Ruikun³^ORCID,Yin Chenkun⁴

Affiliation:

1. School of Information Engineering Beijing Institute of Petrochemical Technology Beijing China

2. School of Automation Qingdao University Qingdao China

3. School of Mathematics & Physics Qingdao University of Science and Technology Qingdao China

4. School of Information Engineering Beijing Jiaotong University Beijing China

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Publisher

Wiley

Subject

Control and Systems Engineering,Electrical and Electronic Engineering,Mathematics (miscellaneous)

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/asjc.2745

Reference39 articles.

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2. MIMO Evolution Model-Based Coupled Fault Estimation and Adaptive Control With High-Speed Train Applications

3. The effect of non-uniform train speed distribution on rail corrugation growth in curves/corners

4. C.SchifersandG.Hans IEEE standard for communications‐based train control (CBTC) performance and functional requirements Vehicular technology conference (VTC) Boston MA USA 2000 pp.1581–1585.

5. Energy-efficient train control: From local convexity to global optimization and uniqueness

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