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Dataset . 2026
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ZENODO
Dataset . 2026
Data sources: Datacite
ZENODO
Dataset . 2026
Data sources: Datacite
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PROJECT SPLITWING — PUBLIC-SAFE PATTERN EDITION A Modular, Constraint-Governed Aerial Systems Architecture

Authors: Brewer, Mark Anthony;

PROJECT SPLITWING — PUBLIC-SAFE PATTERN EDITION A Modular, Constraint-Governed Aerial Systems Architecture

Abstract

PROJECT SPLITWING — PUBLIC-SAFE PATTERN EDITION A Modular, Constraint-Governed Aerial Systems Architecture (Non-Operational • Non-Instantiable • Conceptual Only) Author: Mark Anthony BrewerAffiliation: Immortal Tech / Brewtanius Ink LLCStatus: Public-Safe Architectural PatternVersion: v1.0 (Pattern Edition) ABSTRACT SPLITWING is a public-safe architectural pattern describing how modular aerial systems may be governed to remain stable, auditable, and ethically bounded under uncertainty. Rather than optimizing for peak performance, SPLITWING prioritizes constraint enforcement, layered authority, graceful degradation, and the right to stop. This document describes design philosophy, governance structure, and safety patterns only. It does not specify propulsion systems, materials, performance parameters, control laws, tuning methods, flight procedures, or deployment concepts. SPLITWING is presented as a systems-thinking framework, suitable for research discussion, simulation ethics, and comparative architecture analysis. PUBLIC-SAFE SCOPE & BOUNDARIES This document intentionally includes: system-level architectural principles safety-first autonomy concepts governance and authority separation non-operational modeling metaphors audit and verification framing This document explicitly excludes: build instructions or implementation guidance operational tactics or mission logic performance metrics, limits, or thresholds executable control strategies sensitive integration or manufacturing details SPLITWING is not a vehicle design. It is a governed systems pattern. 1. DESIGN MOTIVATION Modern aerial autonomy increasingly operates in environments defined by: uncertainty rather than predictability tightly coupled dynamics (energy, motion, heat, sensing) partial sensor failure and degraded information coordination across multiple cooperating agents Traditional aerospace systems are built around reactive correction: detect error, apply counter-force. This paradigm works locally but degrades when autonomy, coordination, and uncertainty scale together. SPLITWING begins from a different premise: Stability must be structural, not emergent.Authority must be layered, not assumed.Safety must precede optimization. The goal is not to make a system smarter, faster, or more autonomous — but to make it lawful under stress. 2. CORE ARCHITECTURAL PRINCIPLES 2.1 Modularity as a Safety Primitive SPLITWING treats modularity as a risk-containment strategy, not merely a design convenience. Key properties: Components are independently viable Coupling is conditional and reversible Separation reduces fault propagation Recomposition is allowed only when constraints permit Being connected is treated as an option, not a requirement. 2.2 Layered Authority (No Single Point of Power) SPLITWING separates authority into non-overlapping layers, each with explicit permissions: Safety Layer (Deterministic Authority) Maintains system stability Enforces non-negotiable constraints Overrides unsafe actions Validation / Guidance Layer Evaluates proposed actions Checks consistency with constraints Operates within safety bounds Mission / Commitment Layer Handles irreversible or high-level intent Cannot bypass lower layers Requires explicit authorization No layer is allowed to skip another.No optimization process is allowed to outrank safety. 2.3 Graceful Degradation Over Heroics SPLITWING assumes: sensors fail signals degrade environments change coordination breaks Rather than attempting perfect recovery, the system prioritizes: conservative fallback behavior isolation of malfunctioning components reduction of authority under uncertainty The system is designed to fail smaller, not to “fight through” instability. 3. CONSTRAINT-FIRST NAVIGATION (CONCEPTUAL) SPLITWING adopts a constraint-first framing of motion and decision-making. Instead of asking: “How do we reach a target efficiently?” The system asks: “Which states remain lawful, stable, and survivable?” In this model: safe regions are favored by default unsafe regions are structurally disfavored avoidance is inherent, not reactive This framing emphasizes prevention of unsafe states rather than last-moment correction. Important:This is a conceptual safety model, not a control algorithm. 4. MULTI-AGENT COORDINATION WITHOUT DRIFT Multi-agent systems can suffer from collective drift, where local errors reinforce each other. SPLITWING addresses this at the architectural level through: bounded trust: inputs are weighted, not blindly accepted provenance awareness: signals include context and confidence consistency checks: local claims are compared against global constraints topology flexibility: coordination structures may tighten or relax When inconsistency rises, SPLITWING favors stability over consensus. Nodes may be reduced to conservative behaviors until alignment is restored. The system prioritizes coherence with reality, not agreement among agents. 5. ENERGY, THERMAL, AND MOTION AS A SINGLE GOVERNED SPACE SPLITWING treats energy use, heat accumulation, sensing, and motion as inseparable aspects of one governed state, rather than independent subsystems. Key conceptual rules: no action is free all behavior has cost optimization is bounded by survivability efficiency is secondary to controllability This avoids runaway optimization and brittle performance chasing. No specific mechanisms are described. 6. AUTONOMY WITHOUT ABDICATION SPLITWING explicitly rejects: self-authorizing autonomy open-ended learning without bounds systems that cannot explain or halt themselves Autonomy is permitted only as advisory or bounded assistance. Deterministic enforcement layers retain final authority. The system may recommend.It may not decide alone. 7. THE “RIGHT TO STOP” A foundational SPLITWING principle is: Any system that cannot safely stop is unsafe to run. Because aerial systems cannot pause mid-air, “stop” is defined as entering a lawful fail-safe state, appropriate to the platform class. The architecture emphasizes: conservative fallback behaviors isolation of faults suppression of corrupted data propagation audit logging of safety interventions Stopping is treated as a success condition, not a failure. 8. NON-PROLIFERATION & RESPONSIBLE DISCLOSURE SPLITWING is intentionally documented as a pattern, not an implementation. The purpose is to: advance public understanding of safety-governed autonomy enable ethical review and architectural comparison prevent accidental weaponization or misuse This document does not enable construction, deployment, or operational use. 9. CONCLUSION SPLITWING represents a shift away from performance-first aerospace thinking toward constraint-first system design. It reframes aerial systems as: governed entities rather than autonomous actors participants in bounded decision spaces structures that remain lawful under stress SPLITWING does not optimize for dominance.It optimizes for continued viability. This pattern is not about flying better.It is about ensuring that when flight occurs, it remains compatible with safety, governance, and reality. “A constraint-governed architectural pattern for modular aerial systems operating under uncertainty.”

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average