{
  "abstract": "Safety filters that rely on control barrier function (CBF) quadratic programs (QPs) are typically analyzed under the assumption that the QP is solved instantaneously, although nonzero computation time can render a computed input unsafe by the time it is applied. This paper develops a dual leaky integrate-and-fire (LIF) event-triggered safety filter for linear systems that accounts for this delay. Two LIF states monitor a shifted CBF residual and the deviation of the held input from the nominal feedback law. A computation is initiated when either LIF state reaches its threshold; the previous input remains applied until the prescribed application time, and any solution returned earlier is stored until then. A closed-form charging profile relates the safety-LIF threshold to residual-growth bounds, ensuring sufficient residual margin over the application delay. Under the stated assumptions, the resulting hybrid system guarantees forward invariance, completeness, and non-Zeno execution, with positive lower bounds on computation-initiation and input-application times. A spacecraft terminal-approach simulation demonstrates safety with fewer optimizer calls than a delay-tightened periodic filter.",
  "abstract_shown": true,
  "affiliations": [],
  "article_type": null,
  "arxiv": "2610.10797",
  "author_total": 5,
  "authors": [
    {
      "name": "Tochukwu E. Ogri"
    },
    {
      "name": "Opeyemi Owolabi"
    },
    {
      "name": "Luke Fina"
    },
    {
      "name": "Christopher Petersen"
    },
    {
      "name": "Rushikesh Kamalapurkar"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/3jz7xat0e5sk2.bib",
  "cited_by": 0,
  "doi": "10.48550/arxiv.2610.10797",
  "fulltext_url": null,
  "id": "3jz7xat0e5sk2",
  "issns": [],
  "landing_url": "https://arxiv.org/abs/2610.10797",
  "language": null,
  "licence": "LicenseRef-arXiv-nonexclusive-1.0",
  "licence_label": "arXiv licence",
  "licence_source": "article",
  "licence_url": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
  "metadata_licence": "CC0-1.0",
  "native_subjects": [
    [
      "arxiv",
      "cs.SY"
    ],
    [
      "arxiv",
      "eess.SY"
    ],
    [
      "arxiv",
      "math.OC"
    ],
    [
      "openalex",
      "1703|Formal Methods in Verification"
    ]
  ],
  "openalex": "W7221113729",
  "pdf_url": "https://arxiv.org/pdf/2610.10797",
  "pmcid": null,
  "pmid": null,
  "published": "2026-10-07",
  "publisher": null,
  "ris": "https://research.draconitic.com/paper/3jz7xat0e5sk2.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:27:58Z",
      "native_id": "2610.10797",
      "source": "arxiv",
      "url": "https://arxiv.org/abs/2610.10797"
    }
  ],
  "subjects": [
    {
      "field": "mathematics",
      "origin": "arxiv:math.OC",
      "subfield": "optimisation-control"
    }
  ],
  "title": "Compute-Constrained Safety Filters with Neuromorphic Event Triggering",
  "title_text": "Compute-Constrained Safety Filters with Neuromorphic Event Triggering",
  "type": "preprint",
  "updated_at": "2026-10-30T12:27:58Z",
  "url": "https://research.draconitic.com/paper/3jz7xat0e5sk2",
  "venue": "arXiv",
  "versions": []
}