Novel stability criterion for neural network swith time-varying delay via free-matrix-based integral inequality

Abstract

This paper investigates the problem of stability analysis of neural networks with time-varying delay. Some augmented double integral term and triple integral terms are introduced to the Lyapunov-Krasovskii functional (LKF). And the derivative of the LKF is estimated by the free-matrix-based integral inequality. Then, a less conservative stability criterion is derived. Finally, a numerical example is provided to verify the effectiveness and benefit of the proposed stability criterion.