Radiant Preprint

Allostatic Control Systems: Goal Governance in Changing Environments

How should a controller govern goals when goals become inappropriate in a changing environment?

  • Author: Thomson D. Nguy
  • Affiliation: Radiant Institute for Manifold Studies
  • Domain: Electrical engineering and systems science
  • Status: Public institute preprint; arXiv:2607.21771 in eess.SY, cross-listed cs.SY
  • Version: 2.0
  • arXiv: arXiv:2607.21771
  • arXiv category: eess.SY; cross-list cs.SY
  • arXiv comments: 22 pages, 3 figures; preregistered negative result
  • Published: July 16, 2026
  • Modified: July 27, 2026
  • PDF SHA-256: 0b399ba277fa7232d8bc6f9f65ded0e019f7770404d933b55a2a8cc36d80ebfc
  • Peer review: Not peer reviewed

Abstract

Allostatic control systems govern not only how a system pursues a goal, but whether the goal itself remains appropriate as the environment changes. This matters whenever a controller can continue to regulate successfully against a reference that no longer serves the system.

The paper develops this as a two-timescale problem. A fast loop regulates under the current reference. A slow loop governs whether that reference should move, and one tested mechanism waits for mature outcome evidence before changing the defended reference.

In the preregistered synthetic experiment, the tested mature-evidence mechanism increased decision cost by 1.51% relative to otherwise identical bounded adaptation. The result is a negative result, not a validation claim. It shows that timing matters: evidence-to-effect pathways can arrive too late to improve goal governance before the environment changes again.

Fields and Methods

control systems, systems engineering, predictive control, adaptive thresholds, risk governance.

  • two-timescale reference-governance model
  • matched ungated ablation
  • preregistered synthetic experiment
  • development-only parameter selection
  • fresh confirmatory streams
  • deterministic post-result headroom diagnostics

Collaborator Profile

Control theorists, systems engineers, safety-critical systems researchers, aerospace engineers, cyber-physical systems researchers, and applied researchers working on adaptive thresholding under changing environments.

Validation Needed

  • Replicate the preregistered negative result and audit the matched allostatic-versus-ungated comparison.
  • Test whether other allostatic mechanisms can revise inappropriate goals before serviceability is lost.
  • Separate maturity gating from ordering, staleness, and one-consumption evidence rules in follow-up experiments.
  • Define domain-specific evidence maturity, admissibility, and safety constraints before applying the architecture outside the synthetic setting.

Publication Posture

This is a public institute preprint. It has passed Radiant's internal disclosure review but has not been peer reviewed. Its permanent arXiv record is arXiv:2607.21771 in eess.SY, cross-listed cs.SY. The institute-hosted PDF remains available as a secondary download.

Citation

Thomson D. Nguy. Allostatic Control Systems: Goal Governance in Changing Environments. arXiv:2607.21771 [eess.SY, cs.SY].

Research Correspondence

For collaboration inquiries or research correspondence about this work, contact contact@theradiantinstitute.org.

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