Robust Stability Analysis for Uncertain Delayed Neural Networks with Markoian Jump Parameters

This paper investigates the robust stability of uncertain neural networks with time-varying delays and Markoian Jump parameters. The norm-bounded uncertainties are included in the system matrices. The constraint on time-varying delays is removed, which means that a fast time-varying delay is admissible. Some new delay-dependent stability criterions are presented by using Lyapunov-Krasovskii function and linear matrix inequalities (LMIs) approach. Finally, a numerical example is given to illustrate the effectiveness and less conservativeness of the developed techniques.