All Title Author
Keywords Abstract


Global exponential stability of impulsive cellular neural networks with time-varying delays via fixed point theory

DOI: 10.1186/1687-1847-2013-23

Keywords: neural network, fixed point, global exponential stability, delay, impulse

Full-Text   Cite this paper   Add to My Lib

Abstract:

This work is devoted to studying the application of fixed point theory to the stability analysis of complex neural networks. We employ the new method of contraction mapping principle to investigate the stability of impulsive cellular neural networks with time-varying delays. Some novel and concise sufficient conditions are presented to ensure the existence and uniqueness of a solution and the global exponential stability of the considered system at the same time. These conditions are easily checked and do not require the differentiability of delays.

Full-Text

comments powered by Disqus

Contact Us

service@oalib.com

QQ:3279437679

微信:OALib Journal