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

Research article (Asian Journal of Control, 2022) · cited 14× · AI/ML
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Robust point‐to‐point iterative learning control for high speed trains with model uncertainty and wind gust

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Robust point‐to‐point iterative learning control for high speed trains with model uncertainty and wind gust is a scholarly article[1].

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  • Robust point‐to‐point iterative learning control for high speed trains with model uncertainty and wind gust's instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). Robust point‐to‐point iterative learning control for high speed trains with model uncertainty and wind gust. Retrieved May 24, 2026, from https://4ort.xyz/entity/robust-pointtopoint-iterative-learning-control-for-high-speed-trains-with-model-uncertainty-and-wind-gust
MLA “Robust point‐to‐point iterative learning control for high speed trains with model uncertainty and wind gust.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/robust-pointtopoint-iterative-learning-control-for-high-speed-trains-with-model-uncertainty-and-wind-gust.
BibTeX @misc{4ortxyz_robust-pointtopoint-iterative-learning-control-for-high-speed-trains-with-model-uncertainty-and-wind-gust_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Robust point‐to‐point iterative learning control for high speed trains with model uncertainty and wind gust}}, year = {2026}, url = {https://4ort.xyz/entity/robust-pointtopoint-iterative-learning-control-for-high-speed-trains-with-model-uncertainty-and-wind-gust}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Robust point‐to‐point iterative learning control for high speed trains with model uncertainty and wind gust — https://4ort.xyz/entity/robust-pointtopoint-iterative-learning-control-for-high-speed-trains-with-model-uncertainty-and-wind-gust (retrieved 2026-05-24)

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