Robust Exponential Stability for Time-Delays Neural Networks with Discontinuous Activation Functions

In this paper, we considers the global robust exponential stability of uncertain neural networks with discontinuous activation functions and time-varying delays. Based on the Lyapunov-Krasovskii stability theory, we originally analyze the global robust exponential stability of discontinuous neural networks with time-varying delays using the linear matrix inequalities (LMIs). Thus, our results are brand new compared to previous literature. A numerical example is given to validate the effectiveness of our results.