New results of robust stability analysis for neutral-type neural networks with time-varying delays and Markovian jumping parameters

摘要

In this paper, robust stability analysis for neutral-type neural networks with time-varying delays and Markovian jumping parameters is conducted. By using the delay-decomposition approach, a new Lyapunov-Krasovskii functional is constructed. Based on this Lyapunov-Krasovskii functional and some stochastic stability theory, delay-dependent stability criteria are obtained in terms of linear matrix inequalities. Finally, three numerical examples are given to illustrate the effectiveness and reduced conservatism of our theoretical results.