Finite-Time Synchronization Of Coupled Memristive Neural Networks Subject To Stochastic Link Uncertainties And Attacks

This paper deals with the finite-time synchronization problem of coupled memristive neural networks with time-delays. The coupling among the nodes is perturbed by a multiplicative stochastic uncertainty. The coupled networks under consideration are subject to Denial-of-Service (DoS) attacks and each node has an interval time-varying delay. DoS attacks occur in a random fashion which is governed by a Bernoulli stochastic variable. By applying the Lyapunov functional method and some mathematical techniques, the finite-time synchronization conditions are established. One numerical example is given to show the effectiveness of the proposed algorithm.