INTELLIGENT CONTROLS FOR PARTICLE ACCELERATORS
Where does the UK accelerator community want to be in 5/10 years in terms of controls?
To achieve their ultimate performance, the next generation of particle accelerators require advances in controls systems and feedback. Proposed techniques to realise this include; machine learning through neural networks, genetic algorithms, artificial intelligence, and adaptive controls. This workshop aims to discuss the state of the art and explore promising approaches for future development.