Global robust stability of delayed neural networks with discontinuous activation functions
The authors consider the problem of global robust stability of delayed neural networks with discontinuous activation functions. The stability conditions are given in terms of a linear matrix inequalities, and based on the Lyapunov-Krasovskii stability theory. The results are brand new and original compared with the previous literature. Two numerical examples are given to show the effectiveness of the results.