Lagrange stability of complex-valued neural networks with time-varying delays

Abstract

In this paper, the Lagrange stability of complex-valued neural networks(CVNNs) with time-varying delays is considered. By employing matrix measure approach and generalized Halanay inequality, several sufficient criteria are derived to ascertain the global Lagrange stability for the addressed neural networks. Meanwhile, the globally exponentially attractive sets are exhibited. Finally, two numerical examples are presented to verify our theoretical results.