In this paper, the problem of global exponential stability for impulsive cellular neural networks with time-varying delays and supremums over a past interval of time is studied. The impulses are realized at fixed moments of time and can be considered as a control. We establish several stability criteria by employing Lyapunov functions and the Razumikhin technique. These results can easily be used to design and verify globally stable networks.
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