Convergence of reciprocal time-discrete cellular neural networks with continuous nonlinearities

A proof for the convergence of reciprocal time-discrete cellular neural networks (CNNs) with continuous, monotone increasing nonlinearities is presented. The proof uses a Lyapunov function of the time-discrete cellular neural network.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>