A data-driven model for stable long-horizon autoregressive prediction of plasma current and control-oriented boundary evolution in EAST
Accurate long-horizon prediction of tokamak plasma current, position, and boundary evolution is essential for magnetic control, rapid controller development, and reinforcement-learning-based optimization. However, high-fidelity physics-based simulators are often computationally prohibitive when large numbers of simulat...