Robust Stability Analysis for Fuzzy BAM Neural Networks with Time Varying Delays

Abstract

This paper deals with the problem of robust stability for fuzzy bi-directional associative memory (BAM) neural networks with time-varying interval delays. Here the delays are assumed be in given ranges. By constructing new Lyapunov-Krasovskii functional, stability conditions which are dependent on the upper and lower bounds of the delays, are given in term of linear matrix inequalities (LMIs). A numerical example is given to illustrate the effectiveness of the proposed method.