USSE is the first signal processing kernel governed by a formally proved Generalised Balance Functional — the same mathematical structure that keeps a human body upright, applied to signals, AI agents, and physical systems.
In a nine-layer adaptive ensemble where weights update by exponential loss smoothing, the disagreement energy Φ(t) between parallel channels is formally a Lyapunov-type functional — non-increasing in expectation — provided three conditions hold. All three are enforced by construction in USSE. The vestibular architecture is not an analogy. It is a proved theorem.
Your vestibular system doesn't use a single sensor. It fuses eyes, ears, muscles, and skin simultaneously. The disagreement between channels IS the correction signal. When they agree, the consensus IS the truth.
USSE works the same way. Nine parallel channels with different time constants and noise profiles. Their disagreement — Φ(t) — is not noise. It is the dissipated energy that formally certifies stability.
A single perfect channel is provably less robust than nine imperfect diverse ones.