pwr-hybrid-3-demo

Preliminary example for the HAHACS thesis — a verified hybrid controller for a small modular PWR startup. Composes three layers into one demonstrable pipeline:

• Discrete layer (fret-pipeline/): FRET natural-language requirements → LTL → synthesized AIGER controller → state-machine diagram.
• Continuous layer (plant-model/): 10-state point kinetic equation + thermal-hydraulics PWR model with bounded steam-generator heat removal as the disturbance input.
• Research context (thesis/): the HAHACS PhD proposal that motivates and formalizes the methodology.

Layout

pwr-hybrid-3-demo/
  CLAUDE.md                AI-facing context and architecture map
  docs/
    architecture.md        How the discrete and continuous layers compose
    figures/               Shared figures for thesis + talks
  fret-pipeline/           FRET → ltlsynt → AIGER → state machine
  plant-model/             PWR point kinetics + thermal-hydraulics
  reachability/            Continuous-mode verification (linear-model tube + Lyapunov barrier attempt; see README)
  julia-port/              Parallel plant-model port + ReachabilityAnalysis.jl scaffold
  hardware/                Ovation HIL artifacts (TBD)
  claude_memory/           Session notes by AI agents (distilled up into CLAUDE.md over time)
  thesis/                  [submodule] PhD proposal
  presentations/
    2026DICE/              [submodule] DICE 2026 abstract

Quickstart

Clone with submodules:

git clone --recurse-submodules <url>
cd pwr-hybrid-3-demo

Run the controller synthesis pipeline:

cd fret-pipeline
python3 scripts/fret_to_synth.py pwr_hybrid_3.json specs/synthesis_config_v3.json
bash scripts/synthesize.sh specs/synthesis_config_v3.json circuits
python3 scripts/trace_aiger.py circuits/PWR_HYBRID_3_DRC.aag diagrams
dot -Tpng diagrams/PWR_HYBRID_3_DRC_states.dot -o diagrams/PWR_HYBRID_3_DRC_states.png

Run the plant model (MATLAB in plant-model/ — Octave compatibility not tested since the LQR pieces landed):

main                 % original single-scenario demo (null vs operation)
main_mode_sweep      % all five DRC modes back-to-back, writes to ../docs/figures/
test_linearize       % Jacobian sanity check, saves linearization for reach

Run the reach artifacts (reachability/):

reach_operation      % linear reach tube for operation-mode LQR
barrier_lyapunov     % Lyapunov-ellipsoid barrier cert attempt (sweeps weights)

Soundness note: the current reach tube is the LINEAR model's tube; it is not yet a sound over-approximation of the nonlinear plant. See reachability/README.md § Soundness status.

Prerequisites

• Python 3.10+
• Spot for ltlsynt (brew install spot)
• Graphviz for dot (brew install graphviz)
• MATLAB or GNU Octave for the plant model
• LaTeX (via latexmk) for the thesis submodule

Further reading

• CLAUDE.md — orientation for AI agents working in this repo
• docs/architecture.md — how the layers compose
• thesis/CLAUDE.md — the thesis project structure
• fret-pipeline/README.md — FRET naming conventions and pipeline details
• plant-model/README.md — scenario setup and model equations