Robust point-to-point iterative learning control for high speed trains with model uncertainty and wind gust
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Publication:6579069
DOI10.1002/asjc.2745MaRDI QIDQ6579069
Zhongsheng Hou, Zhenxuan Li, Chenkun Yin, Ruikun Zhang
Publication date: 25 July 2024
Published in: Asian Journal of Control (Search for Journal in Brave)
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Cites Work
- Iterative learning control in optimal tracking problems with specified data points
- Analytical analysis for large-amplitude oscillation of a rotational pendulum system
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- Energy-efficient train control: from local convexity to global optimization and uniqueness
- Speed regulation with measured output feedback in the control of heavy haul trains
- Initial state iterative learning for final state control in motion systems
- Terminal iterative learning control based station stop control of a train
- Mixed H2/H cruise controller design for high speed train
- Stochastic Point‐to‐Point Iterative Learning Control Based on Stochastic Approximation
- Experimentally verified point‐to‐point iterative learning control for highly coupled systems
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