Network-Constrained Data-Driven Control of High-Speed Railway Systems
Language: English
Published by Elsevier Science, 2026
- Softcover
- New
Condition: New
£ 171.48
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Presents a data-driven adaptive and learning control framework for high-speed trains under network constraintsDiscusses the theory and method of multi-train cooperative control in detail: particularly, how to realize real-time information i.
Seller Inventory # 2680206516
- Title
- Network-Constrained Data-Driven Control of High-Speed Railway Systems
- Author
- Deqing Huang|Wei Yu
- Publisher
- Elsevier Science
- Publication year
- 2026
- Condition
- New
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 0443489947
- ISBN 13
- 9780443489945
This resource is helpful for researchers, engineers, and graduate students in high speed railway control systems, offering innovative strategies to advance autonomous operations and meet the demands of high-density, high-speed rail networks
- Presents a data-driven adaptive and learning control framework for high-speed trains under network constraints
- Discusses the theory and method of multi-train cooperative control in detail: particularly, how to realize real-time information interaction and dynamic adjustment between trains with the support of train-to-train communication
- Discusses the influence of network constraints (such as fading measurement, malicious attacks, etc.) on train cooperative control, and proposes a series of compensation strategies
- Focuses on current, high-speed rail control technology, but also contains a forward-looking discussion of future high-speed rail communication and control technology, such as the application of 5G-R communication system and autonomous driving technology
"Synopsis" may belong to another edition of this title.
About the Author
Dr Wei Yu received the B.S. degree in rail transportation signal and control from Henan Polytechnic University, Jiaozuo, China, in 2018, the M.S. degree in control science and engineering from the School of Electric Engineering and Automation, Henan Polytechnic University, Jiaozuo, China, in 2021 and the Ph.D. degree in control science and engineering with Southwest Jiaotong University, Chengdu, China, in 2024. He is currently conducting Boya postdoctoral research at Peking University. His research interests include high-speed train control, data-driven control, iterative learning control and networked system control
"About the title" may belong to another edition of this title.
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