A delayed projection neural network for solving linear variational inequalities
IEEE Transactions on Neural Networks
Impulsive control and synchronization for delayed neural networks with reaction-diffusion terms
IEEE Transactions on Neural Networks
Stochastic stability analysis of delayed hopfield neural networks with impulse effects
ISNN'11 Proceedings of the 8th international conference on Advances in neural networks - Volume Part I
Consensus of second-order multi-agent systems via impulsive control using sampled hetero-information
Automatica (Journal of IFAC)
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This paper studies the problems of global exponential stability for impulsive high-order Hopfield-type neural networks (NNs) with time-varying delays. By employing the Lyapunov-Razumikhin technique, some criteria ensuring global exponential stability are derived. Our results are then used to obtain some sufficient conditions under which some NNs can be forced to converge by impulsive control. Numerical examples are also discussed to illustrate our results.