Closing The Loop - Polyphasic Cellular Control Architecture

We present a fully closed-loop polyphasic cellular automaton in which emergent macroscopic dynamics are measured, reduced, and actively fed back into the microscopic evolution law. The system consists of a spatially extended nonlinear lattice governed by fast–slow polyphasic dynamics (Ψ, Φ), entropy forcing (S), and a stabilizing order parameter termed trust (T). Clusters of coherent behavior emerge spontaneously and are treated as mesoscopic agents. From these observations, we derive reduced-order models (ROMs) at both global and cluster levels, empirically estimate regime transitions, and implement a regime-aware control law that modulates entropy damping and intercellular coupling in real time. Quantitative results demonstrate bounded entropy growth, stabilized trust dynamics, suppressed chaotic regimes, and reduced regime churn across extended runs. The architecture constitutes a cybernetic closure in the strict control-theoretic sense: state estimation, model reduction, and feedback alter future system evolution in a stabilizing manner.