Invariant Set and Attractor of Discrete-Time Impulsive Recurrent Neural Networks

In this paper, we study the invariant set and attractor of the discrete-time impulsive recurrent neural networks (DIRNNs). By using a powerful delay difference inequality and properties of nonnegative matrices, we get some sufficient criteria to determine the invariant set and attractor of DIRNNs. Some examples demonstrate the efficiency.

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