Abstract

In this thesis, stability for a class of impulsive complex-valued neural networks with proportional time delay is discussed. By adhibiting an advisable vector Lyapunov function, making use of inequality craftsmanship and M-matrix theory, a sufficient condition is educed to insure the global exponential stability of the considered neural networks.

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