Robust exponential stability criterion for uncertain neural networks with discontinuous activation functions and time-varying delays

This paper considers the global robust exponential stability of time-varying delayed neural networks with discontinuous activation functions and norm-bounded uncertainties. Based on the Lyapunov–Krasovskii stability theory, we originally analyze the global robust exponential stability of discontinuous neural networks with time-varying delays in view of the linear matrix inequalities (LMIs). Therefore, our results are brand new compared to previous literatures. A numerical example is given to validate the effectiveness of our results.