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dc.contributor.authorGuoqing Jiang
dc.contributor.authorXiaolan Liu
dc.contributor.authorLei Wang
dc.contributor.authorChongwei Zheng
dc.contributor.otherCollege of Mathematics and Statistics, Sichuan University of Science and Engineering, Zigong, Sichuan, 643000, China
dc.contributor.otherCollege of Mathematics and Statistics, Sichuan University of Science and Engineering, Zigong, Sichuan, 643000, China
dc.contributor.otherCollege of Mathematics and Statistics, Sichuan University of Science and Engineering, Zigong, Sichuan, 643000, China
dc.contributor.otherDepartment of Navigation, Dalian Naval Academy, Chinese People's Liberation Army, Dalian, 116000, China
dc.date.accessioned2025-08-27T02:32:16Z
dc.date.accessioned2025-10-08T09:09:21Z
dc.date.available2025-10-08T09:09:21Z
dc.date.issued01-05-2025
dc.identifier.urihttps://www.aimspress.com/article/doi/10.3934/math.2025553
dc.identifier.urihttp://digilib.fisipol.ugm.ac.id/repo/handle/15717717/39036
dc.description.abstractThis paper proposes a fractional-order quaternion-valued neural network (FOQVNN) model with dual proportional delays, neutral delays, and parameter uncertainties. By leveraging classical lemmas and a relaxed linear matrix inequality (LMI) condition, we prove not only the uniqueness of the equilibrium point in the proposed model, but also the global robust stability of this equilibrium. Finally, numerical simulations were provided to validate the theoretical results.
dc.language.isoEN
dc.publisherAIMS Press
dc.subject.lccMathematics
dc.titleStability analysis of fractional-order quaternion-valued neural networks with multiple delays and parameter uncertainties
dc.typeArticle
dc.description.keywordsdouble proportional delay
dc.description.keywordsneutral delay
dc.description.keywordsparameter uncertainty
dc.description.keywordsglobally robust stable
dc.description.keywordslmi
dc.description.pages12205-12227
dc.description.doi10.3934/math.2025553
dc.title.journalAIMS Mathematics
dc.identifier.e-issn2473-6988
dc.identifier.oaioai:doaj.org/journal:c589f02b5d2945679d393e1491a8cf37
dc.journal.infoVolume 10, Issue 5


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