Network-Constrained Data-Driven Control of High-Speed Rail Systems: Adaptive and Learning-Based Approaches addresses critical challenges in high-speed railway (HSR) operational control systems, focusing on enhancing safety, efficiency, and automation in an era of rapid network expansion. The book introduces a transformative framework for data-driven adaptive control and multi-train cooperative control under dynamic network constraints. It integrates next-generation 5G-R communication to enable real-time train-to-train (T2T) coordination, reducing dependency on fixed infrastructure and addressing vulnerabilities like faded channels and interference. By combining rigorous theoretical analysis with simulations, the book proposes solutions to improve operational precision, resilience against disruptions, and transportation capacity.
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
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1. Introduction
2. Preliminaries
3. Coordinated MFAC of MHSTs Under Faded Channels and DoS Attacks
4. DD Consensus of MHSTs Via Random Topologies with Recovery Mechanism
5. Weighted T2T Communication-Based DD Consensus of MHSTs Under DA
6. Active Quantizer-Based DMFAC for MHSTs Against Sensor Bias
7. HOIM Based Data-Driven ILC of HSTs Subject to Faded Channels
8. Fading-Based Coordinated MFAILC of MHSTs Against DoS Attacks
9. Attack Recovery-Based DMFAILC for MHSTs with Fading Compensation
10. Event-Triggered DMFAILC for MHSTs with Switching Topologies
11. DMFAILC for MHSTs under Weighted Communication and Saturations
12. DMFAILC for MHSTs Considering Quantizations and Measurement Bias
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Provides a fundamental, data-driven adaptive and learning control framework for individual high speed trains in network-constrained environment
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
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Produktdetaljer
ISBN
9780443489945
Publisert
2026-02-18
Utgiver
Elsevier - Health Sciences Division
Vekt
450 gr
Høyde
229 mm
Bredde
152 mm
Aldersnivå
P, 06
Språk
Product language
Engelsk
Format
Product format
Heftet
Antall sider
276