Impulsive effects on stability of Cohen-Grossberg neural networks with variable delays
Applied Mathematics and Computation
Journal of Computational and Applied Mathematics
IEEE Transactions on Neural Networks
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A model describing dynamics of Cohen-Grossberg neural networks with time-delays and impulses is considered. By means of Lyapunov functionals and differential inequality technique, criteria on global exponential stability of this model are derived. The results of this paper are new and they supplement previously known results.