Abstract
Disclosed is the KTKN (Katechon) Regulator, a homeostatic AI for detecting precursor signals of failure in complex distributed systems using non-linear dynamical systems theory. The system detects Critical Slowing Down (CSD) by monitoring rising Variance and Autocorrelation. The core innovation is the definition and mitigation of "D-Term Tension," a novel failure mode where the Derivative term of a PID controller fights the system's natural CSD, interpreting noise as a trend and causing violent collapse (Hopf Bifurcation). The KTKN Regulator detects this tension (correlation coefficient $r > 0.7$) and intervenes by disabling the D-term to prevent collapse. The system utilizes Active Inference to calculate "Surprise" (Variational Free Energy), triggering fail-safe when Avg. Surprise > 5.0.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Judson, Matthew D., "Morphogenetic AIOps (The KTKN Regulator): Physics-Based Anomaly Detection and Homeostatic Control", Technical Disclosure Commons, (December 02, 2025)
https://www.tdcommons.org/dpubs_series/8954