Robust Stability Analysis for Time-Delayed Neural Networks with Nonlinear Disturbance

摘要

The problem of robust stability analysis for time-delayed neural networks with nonlinear disturbance is investigated via Lyapunov stability theory. By constructing suitable Lyapunov functional and using matrix transformation, sufficient conditions on robust asymptotic and exponential stability of time-delayed neural networks with nonlinear disturbance are developed. All the stable criteria in this paper are presented in terms of linear matrix inequality.