By Topic

Robust stability criterion for delayed cellular neural networks with norm-bounded uncertainties

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $33
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Z. Zuo ; Sch. of Electr. Eng. & Autom., Tianjin Univ. ; Y. Wang

The problem of global stability for a class of uncertain cellular neural networks with time delays has been discussed. The uncertainty is assumed to be of norm-bounded form. A less conservative robust stability condition is derived on the basis of a new Lyapunov-Krasovskii functional in terms of linear matrix inequalities. Two numerical examples are given to illustrate the effectiveness of the proposed method.

Published in:

IET Control Theory & Applications  (Volume:1 ,  Issue: 1 )