Globally Exponential Stability of Discrete-time Cellular Neural Networks With Discrete Delays

Using the technique by virtue of Young and Halanay inequalities, a new sufficient condition for the globally exponential stability of a class of discrete-time cellular neural networks with delays is given. We discard the demand that activation functions must be derivable and only request them to be Lipschitz continuous, in this way the criteria given for globally exponential stability relies on the feedback matrices and is independent of the delay parameter.