Novel global exponential stability condition for discrete-time recurrent neural networks with random time-varying delays

In this paper, problem of stability for a class of discrete-time recurrent neural networks (DRNNs) with timevaryingdelay is considered. By employing the Lyapunov– Krasovskii function, a new condition for stability of time- delayed system is proposed. Result developed is in the term of linear matrix inequality (LMI) which can be easily checked by LMI Control toolbox. Furthermore, numerical examples are given to confirm the validity of the obtained approach.

کلیدواژه ها:

discrete-time recurrent neural networks ، Lyapunov– Krasovskii function ، linear matrix inequality