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What is Adaptive Control in Particle Accelerators about?
This document presents a tutorial on adaptive control and machine learning applications for particle accelerator beam control and diagnostics. It discusses the challenges of controlling charged particle beams due to their complexity and time-varying nature, and introduces adaptive machine learning methods that combine control theory with machine learning for improved performance. The tutorial includes examples of recent applications and advancements in these fields, highlighting their significance in the ac
- Author
- ekanshmishra1210
- Language
- EN