{
  "abstract": "This study addresses the fixed-time tracking control of a class of uncertain strict-feedback nonlinear systems, where the nonlinear drift functions and external disturbances are unknown, while the control-gain functions are assumed to be known smooth functions with known signs and positive bounds. The systems are additionally subject to actuator saturation. A smooth hyperbolic-tangent model is employed to represent the saturation characteristic. On this basis, the mean-value theorem is utilized to obtain an equivalent input representation containing an unknown control effectiveness coefficient. The resulting saturation approximation error is incorporated with the external disturbance to construct a compound disturbance. In the backstepping framework, unknown nonlinearities are handled through fuzzy basis-function modeling, whereas adaptive mechanisms and smooth robust compensators are designed to mitigate the influence of approximation errors and lumped disturbances. A fixed-time command filter is introduced to eliminate the need for successive differentiation of virtual control laws, thereby reducing the computational complexity associated with conventional backstepping. Moreover, a bi-power compensator is introduced to reduce command-filter-induced errors while retaining fixed-time performance. The combined use of different-power feedback terms ensures practical fixed-time stability, with all closed-loop variables bounded and the tracking, compensation, and estimation errors driven into a prescribed neighborhood within an initial-condition-independent settling time. Simulations on a nonlinear damped car with symmetric/asymmetric saturation and time-varying disturbances confirm the tracking and disturbance-rejection performance of the proposed method.",
  "abstract_shown": true,
  "affiliations": [
    "College of Electrical and Information Engineering, Changchun Institute of Technology, Changchun 130012, China",
    "School of Electronics and Information Engineering, Changchun University of Science and Technology, Changchun 130022, China"
  ],
  "article_type": null,
  "arxiv": null,
  "author_total": 3,
  "authors": [
    {
      "affs": [
        0
      ],
      "name": "Linlin Li"
    },
    {
      "affs": [
        0
      ],
      "name": "Yuhao Xing"
    },
    {
      "affs": [
        1
      ],
      "name": "Ying Ma"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/337abs0m08586.bib",
  "cited_by": 0,
  "doi": "10.3390/math14203648",
  "fulltext_url": null,
  "id": "337abs0m08586",
  "issns": [
    "2227-7390"
  ],
  "landing_url": "https://www.mdpi.com/2227-7390/14/20/3648",
  "language": null,
  "licence": "CC-BY-4.0",
  "licence_label": "CC BY 4.0",
  "licence_source": "article",
  "licence_url": "https://creativecommons.org/licenses/by/4.0/",
  "metadata_licence": null,
  "native_subjects": [
    [
      "openalex",
      "2207|Adaptive Control of Nonlinear Systems"
    ]
  ],
  "openalex": "W7221129610",
  "pdf_url": null,
  "pmcid": null,
  "pmid": null,
  "published": "2026-10-09",
  "publisher": "MDPI AG",
  "ris": "https://research.draconitic.com/paper/337abs0m08586.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:18:29Z",
      "native_id": "10.3390/math14203648",
      "source": "crossref",
      "url": "https://www.mdpi.com/2227-7390/14/20/3648"
    }
  ],
  "subjects": [
    {
      "field": "mathematics",
      "origin": "issn:2227-7390",
      "subfield": "general"
    }
  ],
  "title": "Adaptive Fuzzy Fixed-Time Control for Uncertain Nonlinear Systems with Input Saturation and External Disturbances",
  "title_text": "Adaptive Fuzzy Fixed-Time Control for Uncertain Nonlinear Systems with Input Saturation and External Disturbances",
  "type": "peer-reviewed",
  "updated_at": "2026-10-30T12:18:29Z",
  "url": "https://research.draconitic.com/paper/337abs0m08586",
  "venue": "Mathematics",
  "versions": []
}