LMI-based robust stability analysis for uncertain delayed neural networks

The problem of robust stability for uncertain neural networks with time-varying delays was investigated. 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 stability criteria which are correlated with time delays and its derivatives were presented by using Lyapunov-Krasovskii function and linear matrix ineguality (LMI) approaches. A numerical example was given to illustrate the effectiveness and less conservative of the developed techniques.