Data-Driven Koopman Model Predictive Control for Optimal Operation of High-Speed Trains

Data-Driven Koopman Model Predictive Control for Optimal Operation of High-Speed Trains

Automatic train operation systems of high-speed trains are critical to guarantee operational safety, comfort, and parking accuracy. However, implementing optimal automatic operation control is challenging due to the train’s uncertain dynamics and actuator saturation. To address this issue...

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Bibliographic Details
Main Authors: Bin Chen, Zhiwu Huang, Rui Zhang, Weirong Liu, Heng Li, Jing Wang, Yunsheng Fan, Jun Peng
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Automatic train operation
model predictive control
Koopman operator
data-driven model
Online Access:https://ieeexplore.ieee.org/document/9446079/

Internet

https://ieeexplore.ieee.org/document/9446079/

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