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Global Mittag–Leffler Stability of the Delayed Fractional-Coupled Reaction-Diffusion System on Networks Without Strong Connectedness

Yue Cao, Yonggui Kao, Ju H. Park, Haibo Bao

2021IEEE Transactions on Neural Networks and Learning Systems56 citationsDOI

Abstract

In this article, we mainly consider the existence of solutions and global Mittag-Leffler stability of delayed fractional-order coupled reaction-diffusion neural networks without strong connectedness. Using the Leary-Schauder's fixed point theorem and the Lyapunov method, some criteria for the existence of solutions and global Mittag-Leffler stability are given. Finally, the correctness of the theory is verified by a numerical example.

Topics & Concepts

Social connectednessCorrectnessMathematicsStability (learning theory)Fixed-point theoremApplied mathematicsFractional calculusMittag-Leffler functionDiffusionReaction–diffusion systemMathematical analysisPure mathematicsComputer sciencePhysicsAlgorithmQuantum mechanicsPsychologyPsychotherapistMachine learningNeural Networks Stability and SynchronizationFractional Differential Equations SolutionsNonlinear Differential Equations Analysis