pith. sign in
module module high

IndisputableMonolith.Robotics.PIDStabilityFromJCost

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The module defines recognition descent for self-maps on positive reals and assembles supporting notions of trajectories and cost steps to certify PID stability via J-cost decrease. Control theorists linking Recognition Science to feedback design would cite the resulting stability statements. The module structures its content as a sequence of definitions and lemmas around the core descent predicate.

claimA self-map $f:(0,∞)→(0,∞)$ exhibits recognition descent when $f(1)=1$ and $J(f(r))<J(r)$ for every $r>0$ with $r≠1$, where $J$ is the J-cost.

background

The module resides in the Robotics subdomain and imports the base time quantum τ₀=1 tick from Constants together with the J-cost from the Cost module. Recognition descent is introduced exactly as the property that fixes the equilibrium at unity while enforcing strict J-cost decrease elsewhere. Auxiliary objects include trajectory sequences that track iterated application of the map and lemmas that isolate cost positivity off equilibrium.

proof idea

This is a definition module, no proofs.

why it matters in Recognition Science

The module supplies the recognition descent predicate and the PIDStabilityCert together with the one-statement stability result. It extends the J-uniqueness property from the forcing chain into control applications while remaining inside RS-native units. No downstream users are recorded yet.

scope and limits

depends on (2)

Lean names referenced from this declaration's body.

declarations in this module (12)