Deterministic safety for recursive systems

Recursive loops amplify error. Deterministic bounds shift safety from “detect after drift” to “prevent unsafe updates.”

Why recursion breaks “normal” safety

When outputs feed back into inputs, small misestimates compound. A system can appear stable for many iterations and then cross a threshold where the state becomes unrecoverable.

What “deterministic” means here

Deterministic safety is a structural guarantee: if an update would violate a bound, it is rejected or modified before it affects system state. This is different from probabilistic alarms that are only likely to catch drift.

Best next step

Start with the demo to get intuition, then read the paper abstracts for the formal framing.

Run the demo with your industry preloaded

Launch the demo with a domain-shaped synthetic signal model and presets. Filter math is unchanged.

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