Complete delay-decomposing approach to exponential stability for uncertain cellular neural networks with discrete and distributed time-varying delays

Abstract

This paper considers the problem of exponential stability of uncertain cellular neural networks with discrete and distribute time-varying delays. Some new delay-dependent stability condition are derived in terms of linear matrix inequality. We divide delay interval into multiple segments and employ the free-weighting matrices method to obtained some less conservative criteria. Finally, numerical examples are given to demonstrate the effectiveness and less conservativeness of the proposed methods.