New Stability Criterion for Fractional-Order Quaternion-Valued Neural Networks Involving Discrete and Leakage Delays

Bingjun Li, Bingnan Tang and Lifeng Wu

Journal of Mathematics, 2021, vol. 2021, 1-20

Abstract: In the current work, we are devoted to the issue of uniform stability of fractional-order quaternion-valued neural networks involving discrete and leakage delays. Making use of the contracting mapping theory, we prove that the equilibrium point of the involved fractional-order quaternion-valued neural networks exists and is unique. Taking advantage of mathematical analysis strategy, a sufficient criterion involving delay to verify the global uniform stability for the considered fractional-order quaternion-valued neural networks is set up. Computer simulation figures are displayed to sustain the rationality of the established conclusions. This study generalizes and supplements the research of Xiu et al. (2020).

Date: 2021
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Persistent link: https://EconPapers.repec.org/RePEc:hin:jjmath:9988073

DOI: 10.1155/2021/9988073

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