SCPN Control: Neuro-Symbolic Stochastic Petri Net Controller for Plasma Control
Abstract
Standalone neuro-symbolic control engine that compiles Stochastic Petri Nets into spiking neural network controllers with formal verification guarantees. 48 Python modules, 5 Rust │ │ │ crates, 701 tests, 11.9 µs P50 control loop.
Fields of Study & Subjects
Magnetic confinement fusion research
Fusion and Plasma Physics Studies
Petri Nets in System Modeling
Publication details
- Publication date
- 27 February 2026
- Language
- EN