Global exponential stability criterion for uncertain discrete-time cellular neural networks

This paper deals with the robust stability problem for a class of uncertain discrete-time cellular neural networks (UDTCNNs). A simple criterion is derived to guarantee the global exponential stability (GES) of such networks. A simple method is also proposed to calculate the guaranteed exponential decay rate of such networks. Finally, a numerical example is provided to illustrate the main result.