Article ID Journal Published Year Pages File Type
8899342 Journal of Mathematical Analysis and Applications 2018 13 Pages PDF
Abstract
This paper investigates a class of stochastic coupled systems on networks driven by G-Brownian motion (G-SCSN, in short). By means of inequality techniques, kth vertex G-Lyapunov functions and graph-theory, we obtain the asymptotical boundedness for G-SCSN. Moreover, pth exponential stability is derived. As an application, a class of stochastic coupled Cohen-Grossberg neural networks driven by G-Brownian motion are discussed. Moreover, an example is given to illustrate the theory obtained.
Related Topics
Physical Sciences and Engineering Mathematics Analysis
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