Optimal Terminal Iterative Learning Control for the Automatic Train Stop System-Reference-Cited by-同舟云学术

Optimal Terminal Iterative Learning Control for the Automatic Train Stop System

Published:2014-11-17 Issue:5 Volume:17 Page:1992-1999
ISSN:1561-8625
Container-title:Asian Journal of Control
language:en
Short-container-title:Asian Journal of Control

Author:

Jin Shangtai,Hou Zhongsheng,Chi Ronghu

Publisher

Wiley

Subject

Control and Systems Engineering

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/asjc.1065/fullpdf

Reference18 articles.

1. Terminal iterative learning control based station stop control of a train;Hou;Int. J. Control,2011

2. IEEE Standards Association IEEE Standard for Communications-Based Train Control (CBTC) Performance and Functional Requirements IEEE Std 1474 1 1999 1999

3. In itial state iterative learning for final state control in motion systems;Xu;Automatica,2008

4. Characteristics of practical control for point-to-point (PTP) positioning systems - Effect of design parameters and actuator saturation on positioning performance;Sato;Precis. Eng.,2003

5. Bettering operation of robots by learning;Arimoto;J. Robot. Syst.,1984

Cited by 27 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Improved data-driven high-order model-free adaptive iterative learning control with fast convergence for trajectory tracking systems;Transactions of the Institute of Measurement and Control;2024-03-17

2. Event-Triggered Cooperative Model-Free Adaptive Iterative Learning Control for Multiple Subway Trains With Actuator Faults;IEEE Transactions on Cybernetics;2023-09

3. Terminal Iterative Learning Control for Nonaffine Nonlinear Systems with Nonrepetitive Uncertainties;2023 IEEE 12th Data Driven Control and Learning Systems Conference (DDCLS);2023-05-12

4. Adaptive iterative learning for heavy-haul trains trajectory tracking control on long steep downhill sections;2022 IEEE 17th Conference on Industrial Electronics and Applications (ICIEA);2022-12-16

5. Impact of Automation at Different Cognitive Stages on High-Speed Train Driving Performance;IEEE Transactions on Intelligent Transportation Systems;2022-12