{
  "abstract": "Retuning feedback controllers in critical processes is challenging when experiments are costly, open-loop excitation is infeasible, and candidate controllers must be screened before deployment. The existing Adaptive Sampling for Counterfactual Explanations (ACE) method provides a sample-efficient approach for finding minimal controller-parameter changes that recover prescribed closed-loop performance, but it does not explicitly account for stability of candidate controllers proposed during the search, which may be destabilizing under plant uncertainty. This paper introduces UQ-ACE, a stability-aware retuning method based on Bayesian SINDy. In UQ-ACE, closed-loop trajectories are used to infer a posterior distribution over local dynamical models, from which candidate controllers are screened for stability before implementation. Extensive simulations show that UQ-ACE achieves valid retunings with few closed-loop experiments while preventing deployment of unstable candidates.",
  "abstract_shown": true,
  "affiliations": [],
  "article_type": null,
  "arxiv": "2610.18156",
  "author_total": 3,
  "authors": [
    {
      "name": "Margarita A. Guerrero"
    },
    {
      "name": "Rodrigo A. Gonzalez"
    },
    {
      "name": "Cristian R. Rojas"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/01cejmbj2qayj.bib",
  "cited_by": 0,
  "doi": "10.48550/arxiv.2610.18156",
  "fulltext_url": null,
  "id": "01cejmbj2qayj",
  "issns": [],
  "landing_url": "https://arxiv.org/abs/2610.18156",
  "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",
      "math.OC"
    ],
    [
      "openalex",
      "2207|Control Systems and Identification"
    ]
  ],
  "openalex": "W7221752133",
  "pdf_url": "https://arxiv.org/pdf/2610.18156",
  "pmcid": null,
  "pmid": null,
  "published": "2026-10-13",
  "publisher": null,
  "ris": "https://research.draconitic.com/paper/01cejmbj2qayj.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:29:20Z",
      "native_id": "2610.18156",
      "source": "arxiv",
      "url": "https://arxiv.org/abs/2610.18156"
    }
  ],
  "subjects": [
    {
      "field": "mathematics",
      "origin": "arxiv:math.OC",
      "subfield": "optimisation-control"
    }
  ],
  "title": "UQ-ACE: Stability-Aware Counterfactual Controller Tuning via Bayesian SINDy",
  "title_text": "UQ-ACE: Stability-Aware Counterfactual Controller Tuning via Bayesian SINDy",
  "type": "preprint",
  "updated_at": "2026-10-30T12:29:20Z",
  "url": "https://research.draconitic.com/paper/01cejmbj2qayj",
  "venue": "arXiv",
  "versions": []
}