-
Session S-13: Special Session - Stochastic Systems and Control with Emerging Applications
Done
-
Session V-18: Artificial Intelligence and Data Mining
Done
-
Session V-25: Special Session: Emergent Methods, Techniques and Tools for Cybersecurity
Done
-
Session S-11: Energy Control and Optimization
Done
-
Session S-17: Transport Optimization
Done
-
Keynote 3
Done
-
Session V-07: Scheduling and Optimization Strategies
Done
-
Session S-20: Control Design Methods (Part 1)
Done
-
Session S-24: Learning Systems
Done
-
Session S-30: Optimal Control
Done
Session chair(s): Adriano Mele & Luigi E. di Grazia
Paper ID | Title | Authors |
|
130 |
Design of a Novel Plasma Shape Controller for the TCV Tokamak |
Adriano Mele*, Alessandro Tenaglia, Daniele Carnevale, Stefano Coda, F. Felici, Cristian Galperti, Antoine Merle, Alfredo Pironti, Olivier Sauter (Switzerland) |
|
129 |
Dynamic Steady-State Coil Current Allocation for Plasma Shape Control: A Study on the TCV Tokamak |
Alessandro Tenaglia*, Roberto Masocco, Adriano Mele, Daniele Carnevale, Stefano Coda, F. Felici, Sergio Galeani, Antoine Merle, Mario Sassano (Italy) |
|
133 |
Iterative Learning Optimisation and Control of MAST-U Breakdown and Early Ramp-Up Scenarios |
Luigi Emanuel di Grazia*, Charles Vincent, Massimiliano Mattei, Federico Felici, Lucy Kogan, Adriano Mele (Italy) |
|
158 |
SPACE: A New Simulation Suite for EAST Plasma Control |
Zhengping Luo* (China) |
|
73 |
A Modular Approach Based on a Deep Reinforcement Learning Technique for the Plasma Magnetic Control in DEMO |
Gaetano Tartaglione*, Marco Ariola, Luigi Emanuel di Grazia (Italy) 77145*, 11510, 106462 |
|
236 |
Error Field Control at JET |
lidia piron* (Italy) |