Delay-dependent stability for neutral-type neural networks with time-varying delays and Markovian jumping parameters

摘要

In this paper, the problem of stochastic stability of neutral-type neural networks with Markovian jumping parameters is considered. By choosing an mode-dependent Lyapunov-Krasovskii functional, novel delay-dependent stochastically stable conditions are derived in terms of linear matrix inequalities. Numerical examples are given to illustrate the effectiveness of the proposed approach.