Passivity Analysis for Stochastic Neural networks With Mixed Delays

This paper is concerned with the problem of passivity analysis for stochastic neural networks with mixed delays.It is assumed that the discrete delay is uncertain and seen as a composition of a nominal value subject to a time varying perturbation.The distributed delay is supposed to be constant.By constructing a appropriate discretized Lyapunov-Krasovskii functional and utilizing free-weight matrix techniques,delay-dependent passivity criteria are established in terms of linear matrix inequalities to guarantee the passivity per-formance of the addressed neural networks.