Synchronisation of generalised stochastic neural networks with delays and reaction-diffusion terms on timescales Online publication date: Wed, 05-Aug-2015
by Yongkun Li; Xiaofang Meng
International Journal of Dynamical Systems and Differential Equations (IJDSDE), Vol. 5, No. 3, 2015
Abstract: This paper investigates the synchronisation problem of generalised stochastic neural networks with mixed time-varying delays and reaction-diffusion terms on timescales. Base on Lyapunov stability theory and inequality skills, we establish some sufficient conditions to ensure the global exponential synchronisation of generalised stochastic neural networks with mixed time-varying delays and reaction-diffusion terms on timescales. Finally, we give an example to illustrate the effectiveness of our results.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Dynamical Systems and Differential Equations (IJDSDE):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email subs@inderscience.com