Delay-Dependent Robust Exponential Stability Analysis of Stochastic Bidirectional Associative Memory Neural Networks with Delays

For stochastic bi-directional associative memory (BAM) neural networks with constant delays, the problems of determining the exponential stability and estimating the exponential convergence rate are investigated in this paper. An approach combining the Lyapunov-Krasovskii functional with the linear matrix inequality (LMI) is taken to study the problems, Some criteria for the exponential stability, which give information on the delay-dependent property, are derived. The results obtained in this paper provide one more set of easily verified guidelines for determining the exponential stability of stochastic delayed BAM neural networks, A typical examples are presented to show the application of the criteria obtained in this paper.