Network-Constrained Data-Driven Control of High-Speed Railway Systems: Adaptive and Learning-Based Approaches (Paperback) (ISBN-13: 9780443489945)

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

Author: Deqing Huang,Wei Yu
ISBN-10: 0443489947
ISBN-13: 9780443489945
Publisher: Elsevier
Language: English
Published: 03/06/2026
Pages: 276
Format: Paperback
Weight: 0.99lbs