Network-Constrained Data-Driven Control of High-Speed Rail Systems addresses the critical challenges in high-speed railway (HSR) operational control systems, focusing on enhancing safety, efficiency, and automation in an era of rapid network expansion. Railway systems face limitations in automatic driving capabilities and decentralized control, relying heavily on manual adjustments and outdated communication infrastructure like GSM-R (limited to 9.6 kbit/s speeds and 400 ms delays). Network-Constrained Data-Driven Control of High-Speed Rail Systems 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