Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
8899342 | Journal of Mathematical Analysis and Applications | 2018 | 13 Pages |
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.
Keywords
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Physical Sciences and Engineering
Mathematics
Analysis
Authors
Yong Ren, Wensheng Yin, Wen Lu,