2026-05-20 · 6 min read
Modern automotive and automation stacks exchange JSON from web services, CI pipelines, and digital twin tools. MATLAB and Simulink still expect matrix literals and struct assignments. Converting manually is slow and error-prone.
Arrays and lookup tables
Numeric JSON arrays map naturally to MATLAB matrices when dimensions are consistent. Use array conversion when importing calibration breakpoints or test vectors into Simulink lookup blocks.
Structs and mask parameters
JSON objects become struct fields for mask initialization scripts. Validate field names against MATLAB identifier rules and unit expectations before running models.
Recommended workflow
Keeping JSON as the source of truth helps web, backend, and simulation teams stay aligned.
- Store canonical JSON in git with review
- Convert locally in the browser before pasting into MATLAB
- Version model files alongside the JSON schema