摘要

In this paper, a successful linear matrix inequality (LMI) approach is used to analyze multi-time-delay Hopfield neural networks with parameter perturbations by constructing an appropriate Lyapunov-Krasovskii functional. Two novel delay-dependent criteria for asymptotic stability of the multi-time-delay Hopfield neural networks are given by the Lyapunov method combined with the LMI framework. This comprehensive discussion of the situation also includes extensive applications.