z-logo
open-access-imgOpen Access
Global Exponential Stability of Almost Periodic Solutions for SICNNs with Continuously Distributed Leakage Delays
Author(s) -
Hong Zhang,
Mingquan Yang
Publication year - 2013
Publication title -
abstract and applied analysis
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.228
H-Index - 56
eISSN - 1687-0409
pISSN - 1085-3375
DOI - 10.1155/2013/307981
Subject(s) - mathematics , exponential stability , leakage (economics) , complement (music) , control theory (sociology) , exponential growth , forgetting , exponential function , lyapunov function , mathematical analysis , computer science , biochemistry , chemistry , physics , linguistics , control (management) , philosophy , quantum mechanics , nonlinear system , artificial intelligence , complementation , gene , economics , macroeconomics , phenotype
Shunting inhibitory cellular neural networks (SICNNs) are considered with the introduction of continuously distributed delays in the leakage (or forgetting) terms. By using the Lyapunov functional method and differential inequality techniques, some sufficient conditions for the existence and exponential stability of almost periodic solutions are established. Our results complement with some recent ones

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom