Novel conditions for finite-time stability of neural networks with time varying delay

Abstract

In this paper, the problem of finite-time stability of neural networks with time varying delay is considered by using improved reciprocally convex inequalities and some integral inequalities, combined with Wirtinger’s inequalities and some useful integral inequality. New sufficient conditions for finite-time stability are established to guarantee finite-time stability for the system are given in terms of linear matrix inequalities(LMIs). Numerical examples are given to illustrate the effectiveness of the obtained result.