Exponential stability of Cohen-Grossberg neural networks
Neural Networks
Adaptive Exponential Synchronization of Stochastic Delay Neural Networks with Reaction-Diffusion
ISNN '09 Proceedings of the 6th International Symposium on Neural Networks on Advances in Neural Networks
IEEE Transactions on Circuits and Systems Part I: Regular Papers
Impulsive control and synchronization for delayed neural networks with reaction-diffusion terms
IEEE Transactions on Neural Networks
IEEE Transactions on Circuits and Systems Part I: Regular Papers
Stability analysis for Cohen-Grossberg neural networks with time-varying delays via LMI approach
Expert Systems with Applications: An International Journal
Mathematical and Computer Modelling: An International Journal
Cluster Synchronization in Directed Networks Via Intermittent Pinning Control
IEEE Transactions on Neural Networks
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The issue of exponential synchronization for Cohen-Grossberg neural networks with mixed time-varying delays, stochastic noise disturbance and reaction-diffusion effects is investigated. An approach combining Lyapunov stability theory with stochastic analysis approaches and periodically intermittent control is taken to investigate this problem. The proposed criterion for exponential synchronization generalizes and improves those reported recently in the literature. This paper also presents an illustrative example and uses simulated results of this example to show the feasibility and effectiveness of the proposed scheme.