5th IEEE International Workshop on Cellular Neural Networks and Their Applications, London, Kanada, 14 - 17 Nisan 1998, ss.52-55
This paper presents two sufficient conditions for global stability of Discrete-Time Cellular Neural Networks (DTCNNs). It is shown that if the first or second norm of the feedback matrix is smaller than one, then a DTCNN converges to a unique and globally asymptotically stable equilibrium point for every external input.