Port pke_params, pke_th_rhs, pke_linearize, and all five controllers to Julia. sim_sanity.jl reproduces the MATLAB main.m operation-mode scenario (100%->80% Q_sg step) and matches final state to 3 decimals across n, T_f, T_avg, T_cold, u. reach_operation.jl is a stub: ReachabilityAnalysis.jl (LGG09, GLGM06, BFFPSV18) numerically explodes on the raw stiff system — envelopes of 1e14 K to 1e37 K instead of the known-tight 0.03 K. Almost certainly a state-scaling issue: precursors C_i ~ 1e5, temperatures ~ 300, eigvals span 5000x. Diagonal scaling + retry is planned; left for the next pass since the hand-rolled MATLAB reach already discharges the operation-mode obligation. Project.toml pins OrdinaryDiffEq >= 6.111 (the one that precompiled cleanly on first instantiate). Manifest gitignored. Hacker-Split: Julia path open, reach side needs a scaling pass. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
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 (TBD)
hardware/ Ovation HIL artifacts (TBD)
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 or GNU Octave in plant-model/):
main
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 repodocs/architecture.md— how the layers composethesis/CLAUDE.md— the thesis project structurefret-pipeline/README.md— FRET naming conventions and pipeline detailsplant-model/README.md— scenario setup and model equations
Description
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