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Novel rerults on the global exponential stability of cellular neural networks with variable coefficients and unbounded delays

In this article, we study cellular neural networks (CNNs) with time-varying coefficients, bounded and unbounded delays. By introducing a new Liapunov function to approach unbounded delays and using technique of Young inequality, we obtain some sufficient conditions which ensure global exponential stability of CNNs with unbounded delays and without assumption on boundness of active functions. |