Cellular Neural Networks: from Chaos generation to Complexity modelling

摘要

In this paper some recent results of the authors' research on Cellular Neural Networks (CNNs) are reported and some novel applications are introduced. In particular the CNN paradigm is shown to be able to represent chaotic and hyperchaotic motions generated by some canonical circuits. Moreover thoroughly different dynamics often met in living systems and represented by non linear partially differential equations have been shown to be suitably reproduced in CNN arrays. Finally some interesting applications to motion control, currently under investigation, are briefly introduced.