New Criteria on Delay-Dependent Robust Stability for Uncertain Markovian Stochastic Delayed Neural Networks

摘要

This paper is mainly concerned about the problem of the robustly exponential stability of uncertain stochastic neural networks with time-varying delay and Markovian jump parameters. Some new delay-dependent stability criteria are established for the considered systems by constructing a modified Lyapunov–rasovskii functional, which are expressed in terms of linear matrix inequalities. Compared with some existing ones, our obtained results have a potential less conservatism. Finally, three illustrative numerical examples are provided to show the effectiveness of the obtained results.