Global stability for cellular neural networks with time delay
IEEE Transactions on Neural Networks
Exponential stability and periodic oscillatory solution in BAM networks with delays
IEEE Transactions on Neural Networks
An analysis of global asymptotic stability of delayed cellular neural networks
IEEE Transactions on Neural Networks
State estimation for delayed neural networks
IEEE Transactions on Neural Networks
Exponential stability of impulsive high-order Hopfield-type neural networks with time-varying delays
IEEE Transactions on Neural Networks
Global exponential convergence of Cohen-Grossberg neural networks with time delays
IEEE Transactions on Neural Networks
An improved global asymptotic stability criterion for delayed cellular neural networks
IEEE Transactions on Neural Networks
ICIC'10 Proceedings of the 6th international conference on Advanced intelligent computing theories and applications: intelligent computing
A self-organizing fuzzy neural network based on a growing-and-pruning algorithm
IEEE Transactions on Fuzzy Systems
Hi-index | 0.01 |
In this paper the asymptotic stability of a class of time-delay neural networks is investigated. The neural network model under consideration includes multiple components which is more general than those with the single delay. By constructing a new Lyapunov functional and by using advanced techniques for achieving delay dependence, we derive a new asymptotic stability criterion for neural networks with multiple successive delay components. A numerical example is provided to show the merits of the proposed criterion.