Application of terminal dynamics in cellular neural networks

Abstract

Terminal dynamics is a new nonlinear phenomenon based on the violation of the Lipschitz-condition. The characteristic features, like terminal attractors and repellers, are interesting for artificial neural networks. Because this subject was only discussed in a theoretical way, VLSI system concepts with terminal dynamics have not yet been developed. Therefore we combine the principles of terminal dynamics with cellular neural networks and illustrate our idea by means of a first application. An analog CMOS circuit operating in the subthreshold region is presented for a future VLSI implementation.