Journal
PHYSICS LETTERS A
Volume 314, Issue 5-6, Pages 434-442Publisher
ELSEVIER SCIENCE BV
DOI: 10.1016/S0375-9601(03)00945-9
Keywords
global exponential stability; reaction-diffusion; neural networks; general Halanay inequality; time-varying delays
Categories
Ask authors/readers for more resources
Employing general Halanay inequality, we analyze the global exponential stability of a class of reaction-diffusion recurrent neural networks with time-varying delays. Several new sufficient conditions are obtained to ensure existence, uniqueness and global exponential stability of the equilibrium point of delayed reaction-diffusion recurrent neural networks. The results extend and improve the earlier publications. In addition, an example is given to show the effectiveness of the obtained result. (C) 2003 Elsevier B.V. All rights reserved.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available