New exponential stability criterion for neural networks with time-varying delay

This paper investigates the exponential stability for neural networks with time-varying delay based on Wirtinger-based inequality. Firstly, a simple Lyapunov-Krasovskii functional (LKF) containing a triple integral term is constructed. Then, the treatment to the derivation of the triple integral term leads to a great effect combining with Wirtinger-based inequality. As a result, an improved delay-dependent exponential stability criterion is obtained. Two numerical examples are given to demonstrate its effectiveness.