Delay-dependent stability for uncertain stochastic bam neural networks with time-varying delay

Abstract EN

This paper deals with the problem of delay-dependent asymptotically stability for stochastic bidirectional associative memory neural networks with time-varying structured uncertainties and time-varying delays.

The parameter uncertainties are assumed to be norm bounded.

Based on a Lyapunov-Krasovskii functional and the stochastic stability analysis theory, new delay-dependent stability criteria for the asymptotically stability of stochastic bidirectional associative memory neural networks are derived in terms of linear matrix inequalities.

Finally, a numerical example suggests that the proposed criteria are effective and are an improvement over previous ones.