Robust stability of uncertain cellular neural network for image processing - an LMI approach

In this paper, a network called a discrete-time cellular neural network (DTCNN) with uncertainty is introduced. A methodology for the robust stability of the DTCNN is presented. The uncertainties are assumed to be norm-bounded. The methodology is based on the Lyapunov functional combining with linear matrix inequality (LMI) approach. An example is provided to illustrate the effectiveness of the proposed methodology.