Propagation-Aware Stabilization for Mission Assurance: Failure-Diverse Supervisory Control for Resilient Autonomous Aerial Teams

Autonomous aerial teams can remain internally coherent while collectively acting on a corrupted mission reference. This technical report introduces Propagation-Aware Stabilization for Mission Assurance (PAS-MA), a supervisory architecture that separates collective coherence from mission-reference correctness and governs when shared belief is permitted to acquire mission authority. PAS-MA preserves quorum-dominant autonomy while incorporating failure-diverse minority assurance mechanisms designed to challenge exceptional states without becoming an alternate command system. In matched synthetic C-sUAS experiments, PAS-MA achieved 50/50 mission successes under the tested overt and stealth spoofing conditions, compared with 22/50 for W-MSR and 0/50 for fixed consensus in each condition. Under deliberately harsher shared-failure conditions, assured mission success fell to 0/50 despite preserved local task opportunities, exposing a coherent-but-wrong failure boundary central to the proposed architecture. Additional computational experiments characterize evidence-dependence and availability limits, protected-reference failure, conservative minority governance, and capacity/tempo saturation. The results support PAS-MA as a falsifiable mission-assurance research framework rather than an operationally validated system. This work is an unclassified, platform-agnostic computational proof of concept using synthetic data. It does not claim operational effectiveness, technology readiness, validation for a particular aircraft or mission, or immunity to arbitrary compromise. Implementation-specific tuning rules, deployable software logic, detailed sensor-selection trade studies, operational tactics, and other engineering particulars are intentionally outside the scope of this public preprint.

Authors

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-08-24
DOI
https://doi.org/10.5281/zenodo.22086802
Primary Topic
Distributed Control Multi-Agent Systems
Type
preprint
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
preprint

Propagation-Aware Stabilization for Mission Assurance: Failure-Diverse Supervisory Control for Resilient Autonomous Aerial Teams

Matthew Dominik
Zenodo (CERN European Organization for Nuclear Research)
Distributed Control Multi-Agent Systems
preprint

Propagation-Aware Stabilization for Mission Assurance: Failure-Diverse Supervisory Control for Resilient Autonomous Aerial Teams

Matthew Dominik
preprint en

Abstract

Autonomous aerial teams can remain internally coherent while collectively acting on a corrupted mission reference. This technical report introduces Propagation-Aware Stabilization for Mission Assurance (PAS-MA), a supervisory architecture that separates collective coherence from mission-reference correctness and governs when shared belief is permitted to acquire mission authority. PAS-MA preserves quorum-dominant autonomy while incorporating failure-diverse minority assurance mechanisms designed to challenge exceptional states without becoming an alternate command system. In matched synthetic C-sUAS experiments, PAS-MA achieved 50/50 mission successes under the tested overt and stealth spoofing conditions, compared with 22/50 for W-MSR and 0/50 for fixed consensus in each condition. Under deliberately harsher shared-failure conditions, assured mission success fell to 0/50 despite preserved local task opportunities, exposing a coherent-but-wrong failure boundary central to the proposed architecture. Additional computational experiments characterize evidence-dependence and availability limits, protected-reference failure, conservative minority governance, and capacity/tempo saturation. The results support PAS-MA as a falsifiable mission-assurance research framework rather than an operationally validated system. This work is an unclassified, platform-agnostic computational proof of concept using synthetic data. It does not claim operational effectiveness, technology readiness, validation for a particular aircraft or mission, or immunity to arbitrary compromise. Implementation-specific tuning rules, deployable software logic, detailed sensor-selection trade studies, operational tactics, and other engineering particulars are intentionally outside the scope of this public preprint.

Zenodo (CERN European Organization for Nuclear Research)
Dominion (United States) (US)
Partnerships for the goals
Distributed Control Multi-Agent Systems
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.