Skip to main content
AVESTELLAR Star Brand Mark
ΛVESTELLΛRTechnologies
AVESTELLAR Systems Architecture GroupTechnical Series 2026

Applied Systems Research & Technical Memoranda

Formal invariants, deterministic state machines, and autonomous agent safety boundaries for software operating in high-consequence environments.

Research Sandbox & Verification Boundary: The papers below describe foundational research, simulation models, and reference architectures developed by the AVESTELLAR engineering group. Unless explicitly deployed within a named venture dossier, research items represent ongoing mathematical and architectural inquiry rather than commercial off-the-shelf deployments.
Technical Memoranda & Working Drafts

Published Engineering Monographs

All AVESTELLAR memoranda undergo internal peer-review and code-level verification before release.

ENG-RES-2026-04Financial Systems ArchitectureTechnical Memorandum
12 min read•October 2026

Deterministic Invariants and Double-Entry Consistency in Asynchronous Distributed Financial Engines

An architectural analysis of applying cryptographic hash-chaining and immutable event streams to guarantee strict debit-credit parity across high-frequency distributed mobile money and banking settlement pipelines without requiring two-phase commit bottlenecks.

Key Architectural Invariants & Findings:

  • Eliminating mutable database updates reduces reconciliation discrepancies to zero.
  • Event-sourced journal streams allow deterministic historical replay and instant trial balances.
  • Cryptographic block hashing provides tamper-evident audit trails suitable for strict regulatory scrutiny.
Author: AVESTELLAR Systems Architecture Group — Peer-reviewed internal technical draft
Request Complete Memorandum
ENG-RES-2026-08Applied Agentic AIWorking Paper
15 min read•September 2026

Human-Governed Autonomous Exception Handling: Permission Envelopes and Rollback Semantics in Logistics Multi-Agent Systems

A framework for coordinating autonomous dispatch agents in physical transport networks. We evaluate bounded permission models, Model Context Protocol (MCP) tool execution, and deterministic human escalation triggers during transit disruptions.

Key Architectural Invariants & Findings:

  • Categorizing tool actions by reversibility prevents catastrophic autonomous dispatch mistakes.
  • A centralized policy engine must validate permissions independently of model-generated prompts.
  • Emergency shutdown controls must revoke bearer tokens at the gateway level rather than trusting the model loop.
Author: AVESTELLAR Intelligent Systems Lab — Engineering review completed; simulation validation ongoing
Request Complete Memorandum
ENG-RES-2026-11Energy & Industrial TelemetryEngineering Note
9 min read•August 2026

Decomposing High-Frequency Field Telemetry for Solar PV Inverter Anomaly Isolation Under Tropical Irradiance Dynamics

Methods for separating rapid atmospheric cloud transients from genuine photovoltaic string degradation using edge-filtered Modbus telemetry and pyranometer reconciliation in East African utility installations.

Key Architectural Invariants & Findings:

  • Moving-window median filtering on edge gateways filters out 94% of transient cloud shadow noise.
  • Thermal-adjusted Performance Ratio (PR) algorithms reveal soiling losses weeks before catastrophic dropouts.
  • Direct inverter string impedance modeling isolates cracked panels without manual field crawling.
Author: AVESTELLAR Industrial Telemetry Team — Internal engineering working draft
Request Complete Memorandum
Laboratory Directives

Core Lines of Applied Inquiry

AVESTELLAR research is not theoretical pure-math exploration. Every initiative directly underpins an operational requirement in our physical-economy platforms.

Deterministic Double-Entry Engines

Investigating cryptographic ledger integrity under intermittent mobile connectivity. Eliminating reconciliation drift through event-sourced append-only storage and hash-chained journals.

Underpins: AVESTELLAR Finance, MauzoPilot

Governed Agentic Tool Execution

Designing deterministic policy boundaries for Model Context Protocol (MCP) agents in logistics and dispatch. Ensuring autonomous systems cannot commit irreversible state without cryptographic human approval.

Underpins: FleetMesh Autonomous Dispatch

Industrial Telemetry Filtering

Separating atmospheric noise from physical equipment degradation on low-power ARM edge gateways. Predictive failure signatures calculated directly at the inverter without cloud round-tripping.

Underpins: PowerCheck, Industrial Oracle

Collaborate With Our Research Group

We work with industrial partners, hardware engineers, and systems researchers to publish verifiable benchmark datasets and open technical specifications.

Initiate Research DialogueDirect Lab Email