Stabilisation of Cellular Neural Networks with time-varying delays and reaction-diffusion terms Online publication date: Sun, 25-Jan-2009
by Xuyang Lou, Baotong Cui
International Journal of Intelligent Systems Technologies and Applications (IJISTA), Vol. 6, No. 1/2, 2009
Abstract: This paper deals with the stabilisation problem of Cellular Neural Networks with time-varying delays and reaction-diffusion terms. By constructing proper Lyapunov functionals with respect to the space variables, the stabilisation conditions of delayed CNN with reaction-diffusion terms are derived. A feedback controller is designed to ensure the global asymptotical stability of the equilibrium point. The given algebra criteria are easy to verify which bring some convenience for those who design and verify these neural networks and the results make a preparation for the research about stabilisation of delayed neural networks and further the earlier researches. A numerical example illustrates the effectiveness of the results.
Online publication date: Sun, 25-Jan-2009
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 Intelligent Systems Technologies and Applications (IJISTA):
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 firstname.lastname@example.org