SC-CNN based systems to realize a class of autonomous and coupled chaotic circuits
P. Arena, Salvatore Baglio, Luigi Fortuna, Gabriele Manganaro · 2002
In this paper, after briefly introducing the definition of State Controlled Cellular Neural Networks (SC-CNNs), it is shown that such structures are able to generate complex dynamics of circuits showing strange behaviour. In particular to realize a class of autonomous and coupled nonlinear chaotic circuits by using SC-CNN based systems is presented. In this way it is further confirmed that the approach based on cellular neural networks allows one to generate, in a unified manner, highly complex dynamics. Experimental results confirm the suitability of the strategy, which exactly matches the dynamic behaviour of the circuits considered.