Stability of cellular neural networks with dominant nonlinear and delay-type templates

Presents some further stability results for cellular neural networks (CNNs) with nonlinear delay-type templates. It is shown that there exists a globally asymptotically stable equilibrium point in CNNs with dominant nonlinear delay-type templates. Such a CNN can be used as a pattern classifier or encoder in the sense that there is a nonlinear map that relates the steady state output to the input regardless of the initial conditions.<>