Finite-time Stability of Uncertain Neutral-type Neural Networks with Time-varying Delay

Abstract

This paper is concerned with finite-time stability for a class of neutral neural networks with time-varying delay and norm-bounded uncertainties. Delay-dependent sufficient conditions, which guarantee that the uncertain neutral neural network is finite-time stable, are proposed in terms of linear matrix inequalities by Lyapunov-Krasovskii functional method. Finally, a numerical example is given to show the effectiveness and the benefits of the proposed result.