Aerospace systems operate in continuous, high‑velocity, multi‑agent environments where safety, determinism, and real‑time coordination are critical. Modern aerospace automation relies on heterogeneous sensors, distributed agents, dynamic flight envelopes, and complex kinematic models. However, existing aerospace automation frameworks exhibit nondeterministic behavior due to asynchronous sensing, probabilistic fusion, timing instability, and multi‑agent disagreement. This nondeterminism undermines safety, reproducibility, and operational trust. I introduce Lume‑Aero, a deterministic governance substrate for aerospace‑grade systems. Built on the DAIGS foundation, Lume‑Aero integrates the invariant‑preserving safety layer of Lume‑V with the multi‑agent arbitration and collective cognition capabilities of Lume‑X. Lume‑Aero defines kinematic invariants, flight‑envelope constraints, real‑time arbitration rules, deterministic override mechanisms, and certificate‑based operational truth records tailored to aerospace environments. I formalize the Lume‑Aero architecture, define its continuous‑dynamics operational semantics, and present constructive proofs demonstrating invariant preservation, envelope enforcement, deterministic override correctness, multi‑agent convergence, and replay‑identical execution. I evaluate Lume‑Aero in a simulated aerospace environment with sensor drift, timing instability, multi‑agent conflict, and envelope‑boundary stress. Results show that Lume‑Aero enforces deterministic flight envelopes, maintains certificate‑chain integrity, and ensures reproducible outcomes even under degraded or adversarial conditions.
Ronald Jason Andrews (Mon,) studied this question.