Novel robust stability criteria for uncertain parameter quaternionic neural networks with mixed delays: whole quaternionic method

DOI10.1016/j.amc.2021.126326OpenAlexW3163364500MaRDI QIDQ2243296

Zhaoya Pan, Jie Pan

Publication date: 11 November 2021

Published in: Applied Mathematics and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.amc.2021.126326

zbMATH Keywords

\(M\)-matrixuncertain parametermixed delayglobal robust exponential stabilityquaternionic neural networks

Mathematics Subject Classification ID

Functional-differential equations (including equations with delayed, advanced or state-dependent argument) (34Kxx) Stability of control systems (93Dxx) Mathematical biology in general (92Bxx)

Related Items (3)

Fin-TS and Fix-TS on fractional quaternion delayed neural networks with uncertainty via establishing a new Caputo derivative inequality approach ⋮ Stability analysis of split-step theta method for neutral stochastic delayed neural networks ⋮ Novel criteria for robust stability of Cohen-Grossberg neural networks with multiple time delays

Cites Work

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• Stability analysis for BAM quaternion-valued inertial neural networks with time delay via nonlinear measure approach
• Global exponential stability for quaternion-valued recurrent neural networks with time-varying delays
• Quaternion-MUSIC for vector-sensor array processing
• Quaternions and matrices of quaternions

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